. "Pengenalan pola"@in . . . . . . . "Mustererkennung (Pattern Recognition) ist die F\u00E4higkeit, in einer Menge von Daten Regelm\u00E4\u00DFigkeiten, Wiederholungen, \u00C4hnlichkeiten oder Gesetzm\u00E4\u00DFigkeiten zu erkennen. Dieses Leistungsmerkmal h\u00F6herer kognitiver Systeme wird f\u00FCr die menschliche Wahrnehmung von Kognitionswissenschaften wie der Wahrnehmungspsychologie erforscht, f\u00FCr Maschinen hingegen von der Informatik."@de . . . . "\u0422\u0435\u043E\u0440\u0438\u044F \u0440\u0430\u0441\u043F\u043E\u0437\u043D\u0430\u0432\u0430\u043D\u0438\u044F \u043E\u0431\u0440\u0430\u0437\u043E\u0432"@ru . . . . "35199"^^ . . . "\u0422\u0435\u043E\u0301\u0440\u0456\u044F \u0440\u043E\u0437\u043F\u0456\u0437\u043D\u0430\u0432\u0430\u0301\u043D\u043D\u044F \u043E\u0301\u0431\u0440\u0430\u0437\u0456\u0432 \u2014 \u0440\u043E\u0437\u0434\u0456\u043B \u043A\u0456\u0431\u0435\u0440\u043D\u0435\u0442\u0438\u043A\u0438, \u0449\u043E \u0440\u043E\u0437\u0432\u0438\u0432\u0430\u0454 \u0442\u0435\u043E\u0440\u0435\u0442\u0438\u0447\u043D\u0456 \u043E\u0441\u043D\u043E\u0432\u0438 \u0439 \u043C\u0435\u0442\u043E\u0434\u0438 \u043A\u043B\u0430\u0441\u0438\u0444\u0456\u043A\u0430\u0446\u0456\u0457 \u0456 \u0456\u0434\u0435\u043D\u0442\u0438\u0444\u0456\u043A\u0430\u0446\u0456\u0457 \u043F\u0440\u0435\u0434\u043C\u0435\u0442\u0456\u0432, \u044F\u0432\u0438\u0449, \u043F\u0440\u043E\u0446\u0435\u0441\u0456\u0432, \u0441\u0438\u0433\u043D\u0430\u043B\u0456\u0432, \u0441\u0438\u0442\u0443\u0430\u0446\u0456\u0439 \u0456 \u0442. \u043F. \u043E\u0431'\u0454\u043A\u0442\u0456\u0432, \u044F\u043A\u0456 \u0445\u0430\u0440\u0430\u043A\u0442\u0435\u0440\u0438\u0437\u0443\u044E\u0442\u044C\u0441\u044F \u0441\u043A\u0456\u043D\u0447\u0435\u043D\u043D\u0438\u043C \u043D\u0430\u0431\u043E\u0440\u043E\u043C \u0434\u0435\u044F\u043A\u0438\u0445 \u0432\u043B\u0430\u0441\u0442\u0438\u0432\u043E\u0441\u0442\u0435\u0439 \u0456 \u043E\u0437\u043D\u0430\u043A. \u0422\u0430\u043A\u0456 \u0437\u0430\u0434\u0430\u0447\u0456 \u0432\u0438\u0440\u0456\u0448\u0443\u044E\u0442\u044C\u0441\u044F \u0434\u043E\u0441\u0438\u0442\u044C \u0447\u0430\u0441\u0442\u043E, \u043D\u0430\u043F\u0440\u0438\u043A\u043B\u0430\u0434, \u043F\u0440\u0438 \u043F\u0435\u0440\u0435\u0445\u043E\u0434\u0456 \u0430\u0431\u043E \u043F\u0440\u043E\u0457\u0437\u0434\u0456 \u0432\u0443\u043B\u0438\u0446\u0456 \u0437\u0430 \u0441\u0438\u0433\u043D\u0430\u043B\u0430\u043C\u0438 \u0441\u0432\u0456\u0442\u043B\u043E\u0444\u043E\u0440\u0430. \u0420\u043E\u0437\u043F\u0456\u0437\u043D\u0430\u0432\u0430\u043D\u043D\u044F \u043A\u043E\u043B\u044C\u043E\u0440\u0443 \u043B\u0430\u043C\u043F\u0438 \u0441\u0432\u0456\u0442\u043B\u043E\u0444\u043E\u0440\u0430, \u0449\u043E \u0437\u0430\u0441\u0432\u0456\u0442\u0438\u043B\u0430\u0441\u044F, \u0456 \u0437\u043D\u0430\u043D\u043D\u044F \u043F\u0440\u0430\u0432\u0438\u043B \u0434\u043E\u0440\u043E\u0436\u043D\u044C\u043E\u0433\u043E \u0440\u0443\u0445\u0443 \u0434\u043E\u0437\u0432\u043E\u043B\u044F\u0454 \u043F\u0440\u0438\u0439\u043D\u044F\u0442\u0438 \u043F\u0440\u0430\u0432\u0438\u043B\u044C\u043D\u0435 \u0440\u0456\u0448\u0435\u043D\u043D\u044F \u043F\u0440\u043E \u0442\u0435, \u043C\u043E\u0436\u043D\u0430, \u0447\u0438 \u043D\u0435 \u043C\u043E\u0436\u043D\u0430 \u043F\u0435\u0440\u0435\u0445\u043E\u0434\u0438\u0442\u0438 \u0432\u0443\u043B\u0438\u0446\u044E \u0432 \u0446\u0435\u0439 \u043C\u043E\u043C\u0435\u043D\u0442."@uk . . . . "Il riconoscimento di pattern (in inglese, pattern recognition) \u00E8 una sottoarea dell'apprendimento automatico. Esso consiste nell'analisi e identificazione di pattern all'interno di dati grezzi al fine di identificarne la classificazione. La maggior parte della ricerca nel campo riguarda metodi di apprendimento supervisionato e non supervisionato. Il pattern recognition ha come obiettivo quello di apprendere un classificatore di dati (pattern) basati su conoscenza a priori o informazioni statistiche estratte dai pattern. I pattern da classificare sono tipicamente gruppi di misure od osservazioni, che definiscono punti in un appropriato spazio multidimensionale (al contrario del pattern matching, in cui il pattern \u00E8 specificato in modo rigido). Il riconoscimento di pattern \u00E8 studiato in molti campi, tra cui psicologia, psichiatria, etologia, scienze cognitive e informatica."@it . . . . . . . "La reconnaissance de formes (ou parfois reconnaissance de motifs) est un ensemble de techniques et m\u00E9thodes visant \u00E0 identifier des r\u00E9gularit\u00E9s informatiques \u00E0 partir de donn\u00E9es brutes afin de prendre une d\u00E9cision d\u00E9pendant de la cat\u00E9gorie attribu\u00E9e \u00E0 ce motif. On consid\u00E8re que c'est une branche de l'intelligence artificielle qui fait largement appel aux techniques d'apprentissage automatique et aux statistiques."@fr . . . . . "Reconhecimento de padr\u00F5es"@pt . "El reconocimiento de patrones es la ciencia que se ocupa de los procesos sobre ingenier\u00EDa, computaci\u00F3n y matem\u00E1ticas relacionados con objetos f\u00EDsicos o abstractos, con el prop\u00F3sito de extraer informaci\u00F3n que permita establecer propiedades de entre conjuntos de dichos objetos."@es . . . . . "Mustererkennung (Pattern Recognition) ist die F\u00E4higkeit, in einer Menge von Daten Regelm\u00E4\u00DFigkeiten, Wiederholungen, \u00C4hnlichkeiten oder Gesetzm\u00E4\u00DFigkeiten zu erkennen. Dieses Leistungsmerkmal h\u00F6herer kognitiver Systeme wird f\u00FCr die menschliche Wahrnehmung von Kognitionswissenschaften wie der Wahrnehmungspsychologie erforscht, f\u00FCr Maschinen hingegen von der Informatik. Typische Beispiele f\u00FCr die zahllosen Anwendungsgebiete sind Spracherkennung, Texterkennung und Gesichtserkennung, Aufgaben, die die menschliche Wahrnehmung andauernd und offensichtlich m\u00FChelos erledigt. Die elementare F\u00E4higkeit der Klassifizierung ist jedoch auch der Grundstein von Begriffsbildung, Abstraktion und (induktivem) Denken und damit letztlich von Intelligenz, sodass die Mustererkennung auch f\u00FCr allgemeinere Gebiete wie die K\u00FCnstliche Intelligenz oder das Data-Mining von zentraler Bedeutung ist."@de . . . . . . . . "\uD328\uD134 \uC778\uC2DD"@ko . . . . . "\u0422\u0435\u043E\u0440\u0456\u044F \u0440\u043E\u0437\u043F\u0456\u0437\u043D\u0430\u0432\u0430\u043D\u043D\u044F \u043E\u0431\u0440\u0430\u0437\u0456\u0432"@uk . . . . . . "Pattern recognition is the automated recognition of patterns and regularities in data. It has applications in statistical data analysis, signal processing, image analysis, information retrieval, bioinformatics, data compression, computer graphics and machine learning. Pattern recognition has its origins in statistics and engineering; some modern approaches to pattern recognition include the use of machine learning, due to the increased availability of big data and a new abundance of processing power. These activities can be viewed as two facets of the same field of application, and they have undergone substantial development over the past few decades. Pattern recognition systems are commonly trained from labeled \"training\" data. When no labeled data are available, other algorithms can be used to discover previously unknown patterns. KDD and data mining have a larger focus on unsupervised methods and stronger connection to business use. Pattern recognition focuses more on the signal and also takes acquisition and Signal Processing into consideration. It originated in engineering, and the term is popular in the context of computer vision: a leading computer vision conference is named Conference on Computer Vision and Pattern Recognition. In machine learning, pattern recognition is the assignment of a label to a given input value. In statistics, discriminant analysis was introduced for this same purpose in 1936. An example of pattern recognition is classification, which attempts to assign each input value to one of a given set of classes (for example, determine whether a given email is \"spam\"). Pattern recognition is a more general problem that encompasses other types of output as well. Other examples are regression, which assigns a real-valued output to each input; sequence labeling, which assigns a class to each member of a sequence of values (for example, part of speech tagging, which assigns a part of speech to each word in an input sentence); and parsing, which assigns a parse tree to an input sentence, describing the syntactic structure of the sentence. Pattern recognition algorithms generally aim to provide a reasonable answer for all possible inputs and to perform \"most likely\" matching of the inputs, taking into account their statistical variation. This is opposed to pattern matching algorithms, which look for exact matches in the input with pre-existing patterns. A common example of a pattern-matching algorithm is regular expression matching, which looks for patterns of a given sort in textual data and is included in the search capabilities of many text editors and word processors."@en . "Rozpoznawanie wzorc\u00F3w \u2013 pole badawcze w obr\u0119bie uczenia maszynowego. Mo\u017Ce by\u0107 definiowane jako dzia\u0142anie polegaj\u0105ce na pobieraniu surowych danych i podejmowaniu dalszych czynno\u015Bci zale\u017Cnych od kategorii do kt\u00F3rej nale\u017C\u0105 te dane. W rozpoznawaniu wzorc\u00F3w d\u0105\u017Cy si\u0119 do klasyfikacji danych (wzorc\u00F3w) w oparciu o wiedz\u0119 aprioryczn\u0105 lub o informacje uzyskane na drodze statystycznej analizy danych s\u0142u\u017C\u0105cej wydobywaniu cech obiekt\u00F3w. Klasyfikowane wzorce to zazwyczaj grupy wynik\u00F3w pomiaru lub obserwacji definiuj\u0105ce po\u0142o\u017Cenie odpowiadaj\u0105cych im punkt\u00F3w w wielowymiarowej przestrzeni cech. Kompletny system rozpoznawania wzorc\u00F3w sk\u0142ada si\u0119 z: \n* czujnika, kt\u00F3ry dostarcza obserwacji, kt\u00F3re maj\u0105 by\u0107 klasyfikowane lub opisywane; \n* mechanizmu wydobywania cech, kt\u00F3re najlepiej charakteryzuj\u0105 i separuj\u0105 klas\u0119, do kt\u00F3rej dana obserwacyjna nale\u017Cy, nast\u0119pnie mechanizmu przekszta\u0142cenia w symboliczn\u0105 informacj\u0119; \n* schematu decyzyjnego lub schematu opisywania, kt\u00F3ry realizuje w\u0142a\u015Bciw\u0105 cz\u0119\u015B\u0107 procesu klasyfikacji lub opisywania obserwacji w oparciu o wydobyte cechy obiekt\u00F3w oraz o wiedz\u0119 a priori."@pl . "El reconeixement de patrons, tamb\u00E9 anomenat lectura de patrons, identificaci\u00F3 de figures o reconeixement de formes, \u00E9s un proc\u00E9s de classificaci\u00F3 per categories de qualsevol tipus de mostres mitjan\u00E7ant dades observades o mesurades. El reconeixement de patrons en camps com la inform\u00E0tica, l'enginyeria i les matem\u00E0tiques est\u00E0 basat en un proc\u00E9s fonamental que es troba en la majoria d'accions que realitzen els \u00E9ssers vius."@ca . . . . . . . . . . . "\u30D1\u30BF\u30FC\u30F3\u8A8D\u8B58"@ja . . . . . . . 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"\u6A21\u5F0F\u8BC6\u522B\uFF08\u82F1\u8A9E\uFF1APattern recognition\uFF09\uFF0C\u5C31\u662F\u901A\u8FC7\u8BA1\u7B97\u673A\u7528\u6570\u5B66\u6280\u672F\u65B9\u6CD5\u6765\u7814\u7A76\u6A21\u5F0F\u7684\u81EA\u52A8\u5904\u7406\u548C\u5224\u8BFB\u3002\u6211\u4EEC\u628A\u73AF\u5883\u4E0E\u5BA2\u4F53\u7EDF\u79F0\u4E3A\u201C\u6A21\u5F0F\u201D\u3002\u968F\u7740\u8BA1\u7B97\u673A\u6280\u672F\u7684\u53D1\u5C55\uFF0C\u4EBA\u7C7B\u6709\u53EF\u80FD\u7814\u7A76\u590D\u6742\u7684\u4FE1\u606F\u5904\u7406\u8FC7\u7A0B\u3002\u4FE1\u606F\u5904\u7406\u8FC7\u7A0B\u7684\u4E00\u4E2A\u91CD\u8981\u5F62\u5F0F\u662F\u751F\u547D\u4F53\u5BF9\u73AF\u5883\u53CA\u5BA2\u4F53\u7684\u8BC6\u522B\u3002\u5BF9\u4EBA\u7C7B\u6765\u8BF4\uFF0C\u7279\u522B\u91CD\u8981\u7684\u662F\u5BF9\u5149\u5B66\u4FE1\u606F\uFF08\u901A\u8FC7\u89C6\u89C9\u5668\u5B98\u6765\u83B7\u5F97\uFF09\u548C\u58F0\u5B66\u4FE1\u606F\uFF08\u901A\u8FC7\u542C\u89C9\u5668\u5B98\u6765\u83B7\u5F97\uFF09\u7684\u8BC6\u522B\u3002\u8FD9\u662F\u6A21\u5F0F\u8BC6\u522B\u7684\u4E24\u4E2A\u91CD\u8981\u65B9\u9762\u3002\u5E02\u573A\u4E0A\u53EF\u89C1\u5230\u7684\u4EE3\u8868\u6027\u4EA7\u54C1\u6709\u5149\u5B66\u5B57\u7B26\u8BC6\u522B\u3001\u8BED\u97F3\u8BC6\u522B\u7CFB\u7EDF\u3002 \u8BA1\u7B97\u673A\u8BC6\u522B\u7684\u663E\u8457\u7279\u70B9\u662F\u901F\u5EA6\u5FEB\u3001\u51C6\u786E\u6027\u9AD8\u3001\u6548\u7387\u9AD8\uFF0C\u5728\u5C06\u6765\u5B8C\u5168\u53EF\u4EE5\u53D6\u4EE3\u4EBA\u5DE5\u5F55\u5165\u3002 \u8BC6\u522B\u8FC7\u7A0B\u4E0E\u4EBA\u7C7B\u7684\u5B66\u4E60\u8FC7\u7A0B\u76F8\u4F3C\u3002\u4EE5\u5149\u5B78\u5B57\u5143\u8B58\u5225\u4E4B\u201C\u201D\u4E3A\u4F8B\uFF1A\u9996\u5148\u5C06\u6C49\u5B57\u56FE\u50CF\u8FDB\u884C\u5904\u7406\uFF0C\u62BD\u53D6\u4E3B\u8981\u8868\u8FBE\u7279\u5F81\u5E76\u5C06\u7279\u5F81\u4E0E\u6C49\u5B57\u7684\u4EE3\u7801\u5B58\u5728\u8BA1\u7B97\u673A\u4E2D\u3002\u5C31\u50CF\u8001\u5E08\u6559\u6211\u4EEC\u300C\u8FD9\u4E2A\u5B57\u53EB\u4EC0\u4E48\u3001\u5982\u4F55\u5199\u300D\u8BB0\u5728\u5927\u8111\u4E2D\u3002\u8FD9\u4E00\u8FC7\u7A0B\u53EB\u505A\u201C\u8BAD\u7EC3\u201D\u3002\u8BC6\u522B\u8FC7\u7A0B\u5C31\u662F\u5C06\u8F93\u5165\u7684\u6C49\u5B57\u56FE\u50CF\u7ECF\u5904\u7406\u540E\u4E0E\u8BA1\u7B97\u673A\u4E2D\u7684\u6240\u6709\u5B57\u8FDB\u884C\u6BD4\u8F83\uFF0C\u627E\u51FA\u6700\u76F8\u8FD1\u7684\u5B57\u5C31\u662F\u8BC6\u522B\u7ED3\u679C\u3002\u8FD9\u4E00\u8FC7\u7A0B\u53EB\u505A\u201C\u5339\u914D\u201D\u3002"@zh . . . . . . . . . . . . "\uD328\uD134 \uC778\uC2DD(\uC601\uC5B4: pattern recognition)\uC740 \uC778\uC9C0\uACFC\uD559(Cognitive Science)\uACFC \uC778\uACF5\uC9C0\uB2A5(Artificial Intelligence) \uBD84\uC57C\uC5D0 \uC18D\uD558\uB294 \uBB38\uC81C \uC911 \uD558\uB098\uC774\uB2E4. \uC778\uC9C0\uACFC\uD559\uC740 \uC2EC\uB9AC\uD559, \uCEF4\uD4E8\uD130 \uACFC\uD559, \uC778\uACF5\uC9C0\uB2A5, \uC2E0\uACBD\uC0DD\uBB3C\uD559\uACFC \uC5B8\uC5B4\uD559, \uCCA0\uD559\uC744 \uC774\uC6A9\uD558\uC5EC \uC9C0\uB2A5\uACFC \uC778\uC2DD\uC758 \uBB38\uC81C\uB97C \uB2E4\uB8E8\uB294 \uD3EC\uAD04\uC801\uC778 \uD559\uC81C\uC801 \uACFC\uD559 \uBD84\uC57C\uB97C \uB9D0\uD55C\uB2E4. \uC778\uACF5\uC9C0\uB2A5\uC740 \uC778\uAC04\uC758 \uD559\uC2B5\uB2A5\uB825\uACFC \uCD94\uB860\uB2A5\uB825\uC744 \uC778\uACF5\uC801\uC73C\uB85C \uBAA8\uB378\uB9C1\uD558\uC5EC \uC678\uBD80 \uB300\uC0C1\uC744 \uC9C0\uAC01\uD558\uB294 \uB2A5\uB825, \uB098\uC544\uAC00 \uC790\uC5F0\uC5B8\uC5B4\uC640 \uAC19\uC740 \uAD6C\uBB38\uC801 \uD328\uD134\uAE4C\uC9C0 \uC774\uD574\uD558\uB294 \uB2A5\uB825 \uB4F1\uC744 \uCEF4\uD4E8\uD130 \uD504\uB85C\uADF8\uB7A8\uC73C\uB85C \uAD6C\uD604\uD558\uB294 \uAE30\uC220\uC744 \uB9D0\uD55C\uB2E4. \uC778\uACF5\uC9C0\uB2A5\uC5D0 \uAD00\uD55C \uC5F0\uAD6C\uB294 \uD604\uC7AC \uC9C0\uB2A5\uD615 \uC2DC\uC2A4\uD15C(Intelligence System)\uC774\uB77C\uB294 \uC778\uACF5\uC9C0\uB2A5\uC5D0 \uAE30\uBC18\uD55C \uC815\uBCF4 \uC2DC\uC2A4\uD15C \uBD84\uC57C\uB85C\uAE4C\uC9C0 \uBC1C\uC804\uD558\uACE0 \uC788\uB2E4. \uC815\uBCF4\uD654 \uC2DC\uB300\uC5D0 \uC27D\uAC8C \uC5BB\uC744 \uC218 \uC788\uB294 \uC218\uB9CE\uC740 \uB370\uC774\uD130\uB4E4\uC744 \uC801\uC808\uD788 \uAC00\uACF5\uD558\uB294 \uAC83\uC740 \uBB3C\uB860 \uC815\uBCF4\uC758 \uD45C\uD604\uACFC \uCC98\uB9AC\uC5D0\uB3C4 \uC9C0\uB2A5\uD615 \uC2DC\uC2A4\uD15C\uC774 \uC801\uC6A9\uB418\uACE0 \uC788\uC73C\uBA70 \uAE08\uC735, \uC81C\uC870, \uC2A4\uD3EC\uCE20, \uC11C\uBE44\uC2A4 \uBD84\uC57C \uB4F1\uC758 \uBE44\uC815\uBCF4\uAE30\uC220 \uBD80\uBB38\uC5D0\uAE4C\uC9C0 \uB110\uB9AC \uC774\uC6A9\uB418\uACE0 \uC788\uB2E4."@ko . . . . "1122129897"^^ . . . . . . . . . . "Reconnaissance de formes"@fr . . . . . . "126706"^^ . . . "Patroonherkenning is het kunnen onderscheiden van een patroon in ruwe, ongezuiverde gegevens. Mensen zijn hierin meestal beter dan computers, vooral als de gegevens visueel voorgesteld worden."@nl . . . "\uD328\uD134 \uC778\uC2DD(\uC601\uC5B4: pattern recognition)\uC740 \uC778\uC9C0\uACFC\uD559(Cognitive Science)\uACFC \uC778\uACF5\uC9C0\uB2A5(Artificial Intelligence) \uBD84\uC57C\uC5D0 \uC18D\uD558\uB294 \uBB38\uC81C \uC911 \uD558\uB098\uC774\uB2E4. \uC778\uC9C0\uACFC\uD559\uC740 \uC2EC\uB9AC\uD559, \uCEF4\uD4E8\uD130 \uACFC\uD559, \uC778\uACF5\uC9C0\uB2A5, \uC2E0\uACBD\uC0DD\uBB3C\uD559\uACFC \uC5B8\uC5B4\uD559, \uCCA0\uD559\uC744 \uC774\uC6A9\uD558\uC5EC \uC9C0\uB2A5\uACFC \uC778\uC2DD\uC758 \uBB38\uC81C\uB97C \uB2E4\uB8E8\uB294 \uD3EC\uAD04\uC801\uC778 \uD559\uC81C\uC801 \uACFC\uD559 \uBD84\uC57C\uB97C \uB9D0\uD55C\uB2E4. \uC778\uACF5\uC9C0\uB2A5\uC740 \uC778\uAC04\uC758 \uD559\uC2B5\uB2A5\uB825\uACFC \uCD94\uB860\uB2A5\uB825\uC744 \uC778\uACF5\uC801\uC73C\uB85C \uBAA8\uB378\uB9C1\uD558\uC5EC \uC678\uBD80 \uB300\uC0C1\uC744 \uC9C0\uAC01\uD558\uB294 \uB2A5\uB825, \uB098\uC544\uAC00 \uC790\uC5F0\uC5B8\uC5B4\uC640 \uAC19\uC740 \uAD6C\uBB38\uC801 \uD328\uD134\uAE4C\uC9C0 \uC774\uD574\uD558\uB294 \uB2A5\uB825 \uB4F1\uC744 \uCEF4\uD4E8\uD130 \uD504\uB85C\uADF8\uB7A8\uC73C\uB85C \uAD6C\uD604\uD558\uB294 \uAE30\uC220\uC744 \uB9D0\uD55C\uB2E4. \uC778\uACF5\uC9C0\uB2A5\uC5D0 \uAD00\uD55C \uC5F0\uAD6C\uB294 \uD604\uC7AC \uC9C0\uB2A5\uD615 \uC2DC\uC2A4\uD15C(Intelligence System)\uC774\uB77C\uB294 \uC778\uACF5\uC9C0\uB2A5\uC5D0 \uAE30\uBC18\uD55C \uC815\uBCF4 \uC2DC\uC2A4\uD15C \uBD84\uC57C\uB85C\uAE4C\uC9C0 \uBC1C\uC804\uD558\uACE0 \uC788\uB2E4. \uC815\uBCF4\uD654 \uC2DC\uB300\uC5D0 \uC27D\uAC8C \uC5BB\uC744 \uC218 \uC788\uB294 \uC218\uB9CE\uC740 \uB370\uC774\uD130\uB4E4\uC744 \uC801\uC808\uD788 \uAC00\uACF5\uD558\uB294 \uAC83\uC740 \uBB3C\uB860 \uC815\uBCF4\uC758 \uD45C\uD604\uACFC \uCC98\uB9AC\uC5D0\uB3C4 \uC9C0\uB2A5\uD615 \uC2DC\uC2A4\uD15C\uC774 \uC801\uC6A9\uB418\uACE0 \uC788\uC73C\uBA70 \uAE08\uC735, \uC81C\uC870, \uC2A4\uD3EC\uCE20, \uC11C\uBE44\uC2A4 \uBD84\uC57C \uB4F1\uC758 \uBE44\uC815\uBCF4\uAE30\uC220 \uBD80\uBB38\uC5D0\uAE4C\uC9C0 \uB110\uB9AC \uC774\uC6A9\uB418\uACE0 \uC788\uB2E4. \uD328\uD134 \uC778\uC2DD\uC740 \uACF5\uD559\uC801 \uC811\uADFC\uBC95\uC744 \uC774\uC6A9\uD558\uC5EC \uC778\uACF5\uC9C0\uB2A5\uC758 \uC2E4\uC81C \uAD6C\uD604 \uBB38\uC81C\uC778 \uC13C\uC2F1\uB41C \uB300\uC0C1\uC744 \uC778\uC2DD\uD558\uB294 \uBB38\uC81C\uB97C \uC8FC\uB85C \uB2E4\uB8EC\uB2E4. \uD328\uD134\uC778\uC2DD\uC744 \uC5EC\uB7EC \uBC29\uC2DD\uC73C\uB85C \uC815\uC758\uD560 \uC218 \uC788\uACA0\uC9C0\uB9CC \"\uACC4\uC0B0\uC774 \uAC00\uB2A5\uD55C \uAE30\uACC4\uC801\uC778 \uC7A5\uCE58(\uCEF4\uD4E8\uD130)\uAC00 \uC5B4\uB5A0\uD55C \uB300\uC0C1\uC744 \uC778\uC2DD\uD558\uB294 \uBB38\uC81C\uB97C \uB2E4\uB8E8\uB294 \uC778\uACF5\uC9C0\uB2A5\uC758 \uD55C \uBD84\uC57C\"\uB77C\uACE0 \uC815\uC758\uD55C\uB2E4."@ko . . . . . . . . . . . . . "Patroonherkenning is het kunnen onderscheiden van een patroon in ruwe, ongezuiverde gegevens. Mensen zijn hierin meestal beter dan computers, vooral als de gegevens visueel voorgesteld worden."@nl . . "\u0391\u03BD\u03B1\u03B3\u03BD\u03CE\u03C1\u03B9\u03C3\u03B7 \u03C0\u03C1\u03BF\u03C4\u03CD\u03C0\u03C9\u03BD"@el . . . . "Pengenalan pola (bahasa Inggris: pattern recognition) merupakan bidang dalam pembelajaran mesin dan dapat diartikan sebagai \"tindakan mengambil data mentah dan bertindak berdasarkan klasifikasi data\". Dengan demikian, ia merupakan himpunan kaidah bagi pembelajaran diselia (supervised learning).Ada beberapa definisi lain tentang pengenalan pola, di antaranya: \n* Penentuan suatu objek fisik atau kejadian ke dalam salah satu atau beberapa kategori. \n* Ilmu pengetahuan yang menitikberatkan pada deskripsi dan klasifikasi (pengenalan) dari suatu pengukuran. \n* Suatu pengenalan secara otomatis suatu bentuk, sifat, keadaan, kondisi, susunan tanpa keikutsertaan manusia secara aktif dalam proses pemutusan. Berdasar beberapa definisi di atas, pengenalan pola bisa didefinisikan sebagai cabang kecerdasan yang menitik-beratkan pada metode pengklasifikasian objek ke dalam klas - klas tertentu untuk menyelesaikan masalah tertentu. Salah satu aplikasinya adalah pengenalan suara, klasifikasi teks dokumen dalam kategori (contoh. surat-E spam/bukan-spam), pengenalan tulisan tangan, pengenalan kode pos secara otomatis pada sampul surat, atau sistem . Aplikasi ini kebanyakan menggunakan bagi pengenalan pola yang berkenaan dengan sebagai input ke dalam sistem pengenalan pola"@in . . 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\u03B1\u03BD\u03B1\u03B3\u03BD\u03CE\u03C1\u03B9\u03C3\u03B7\u03C2 \u03C0\u03C1\u03BF\u03C4\u03CD\u03C0\u03C9\u03BD \u03B5\u03C0\u03B9\u03BA\u03B5\u03BD\u03C4\u03C1\u03CE\u03B8\u03B7\u03BA\u03B5 \u03C3\u03C4\u03B7\u03BD \u03B1\u03BD\u03AC\u03C0\u03C4\u03C5\u03BE\u03B7 \u03B8\u03B5\u03C9\u03C1\u03B7\u03C4\u03B9\u03BA\u03CE\u03BD \u03BC\u03B5\u03B8\u03CC\u03B4\u03C9\u03BD. \u039C\u03B5\u03C4\u03AC \u03C4\u03BF 1970 \u03AD\u03B3\u03B9\u03BD\u03B1\u03BD \u03C0\u03C1\u03BF\u03C3\u03C0\u03AC\u03B8\u03B5\u03B9\u03B5\u03C2 \u03B3\u03B9\u03B1 \u03C4\u03B7\u03BD \u03C4\u03B1\u03C7\u03CD\u03C4\u03B5\u03C1\u03B7 \u03B5\u03BE\u03AD\u03BB\u03B9\u03BE\u03B7 \u03C4\u03BF\u03C5 \u03C4\u03BF\u03BC\u03AD\u03B1, \u03B5\u03BD\u03CE \u03C4\u03BF 1976 \u03B9\u03B4\u03C1\u03CD\u03B8\u03B7\u03BA\u03B5 \u03B7 \u0394\u03B9\u03B5\u03B8\u03BD\u03AE\u03C2 \u0388\u03BD\u03C9\u03C3\u03B7 \u0391\u03BD\u03B1\u03B3\u03BD\u03CE\u03C1\u03B9\u03C3\u03B7\u03C2 \u03A0\u03C1\u03BF\u03C4\u03CD\u03C0\u03C9\u03BD (IARP). \u03A3\u03AE\u03BC\u03B5\u03C1\u03B1, \u03B1\u03BB\u03B3\u03CC\u03C1\u03B9\u03B8\u03BC\u03BF\u03B9 \u03B1\u03BD\u03B1\u03B3\u03BD\u03CE\u03C1\u03B9\u03C3\u03B7\u03C2 \u03C0\u03C1\u03BF\u03C4\u03CD\u03C0\u03C9\u03BD \u03B5\u03C6\u03B1\u03C1\u03BC\u03CC\u03B6\u03BF\u03BD\u03C4\u03B1\u03B9 \u03C3\u03B5 \u03B1\u03C1\u03BA\u03B5\u03C4\u03AD\u03C2 \u03B5\u03C0\u03B9\u03C3\u03C4\u03AE\u03BC\u03B5\u03C2, \u03CC\u03C0\u03C9\u03C2 \u03C0.\u03C7. \u03C3\u03C4\u03B7\u03BD \u03B9\u03B1\u03C4\u03C1\u03B9\u03BA\u03AE (\u03B2\u03B9\u03BF\u03CA\u03B1\u03C4\u03C1\u03B9\u03BA\u03AE \u03C4\u03B5\u03C7\u03BD\u03BF\u03BB\u03BF\u03B3\u03AF\u03B1, \u03B1\u03BD\u03AC\u03BB\u03C5\u03C3\u03B7 \u03B4\u03B5\u03B4\u03BF\u03BC\u03AD\u03BD\u03C9\u03BD DNA \u03BA\u03B1\u03B9 \u03AC\u03BB\u03BB\u03B5\u03C2 \u03B5\u03C6\u03B1\u03C1\u03BC\u03BF\u03B3\u03AD\u03C2 \u03C4\u03B7\u03C2 \u03B2\u03B9\u03BF\u03C0\u03BB\u03B7\u03C1\u03BF\u03C6\u03BF\u03C1\u03B9\u03BA\u03AE\u03C2), \u03AE \u03C3\u03B5 \u03AC\u03BB\u03BB\u03B1 \u03C0\u03B5\u03B4\u03AF\u03B1 \u03C4\u03B7\u03C2 \u03C0\u03BB\u03B7\u03C1\u03BF\u03C6\u03BF\u03C1\u03B9\u03BA\u03AE\u03C2 \u03BA\u03B1\u03B9 \u03C4\u03B7\u03C2 \u03B5\u03C0\u03B9\u03C3\u03C4\u03AE\u03BC\u03B7\u03C2 \u03B7\u03BB\u03B5\u03BA\u03C4\u03C1\u03BF\u03BD\u03B9\u03BA\u03BF\u03CD \u03BC\u03B7\u03C7\u03B1\u03BD\u03B9\u03BA\u03BF\u03CD, \u03CC\u03C0\u03C9\u03C2 \u03B7 \u03BC\u03B7\u03C7\u03B1\u03BD\u03B9\u03BA\u03AE \u03CC\u03C1\u03B1\u03C3\u03B7 \u03BA\u03B1\u03B9 \u03B7 \u03C1\u03BF\u03BC\u03C0\u03BF\u03C4\u03B9\u03BA\u03AE. \u0397 \u03AF\u03B4\u03B9\u03B1 \u03B7 \u03B1\u03BD\u03B1\u03B3\u03BD\u03CE\u03C1\u03B9\u03C3\u03B7 \u03C0\u03C1\u03BF\u03C4\u03CD\u03C0\u03C9\u03BD \u03B5\u03C0\u03B9\u03BA\u03B1\u03BB\u03CD\u03C0\u03C4\u03B5\u03C4\u03B1\u03B9 \u03C3\u03B7\u03BC\u03B1\u03BD\u03C4\u03B9\u03BA\u03AC \u03BC\u03B5 \u03C3\u03C5\u03B3\u03B3\u03B5\u03BD\u03AE, \u03B5\u03C0\u03B9\u03BC\u03AD\u03C1\u03BF\u03C5\u03C2 \u03C0\u03B5\u03B4\u03AF\u03B1 \u03C4\u03B7\u03C2 \u03C4\u03B5\u03C7\u03BD\u03B7\u03C4\u03AE\u03C2 \u03BD\u03BF\u03B7\u03BC\u03BF\u03C3\u03CD\u03BD\u03B7\u03C2 \u03CC\u03C0\u03C9\u03C2 \u03B7 \u03BC\u03B7\u03C7\u03B1\u03BD\u03B9\u03BA\u03AE \u03BC\u03AC\u03B8\u03B7\u03C3\u03B7 \u03BA\u03B1\u03B9 \u03B7 \u03B5\u03BE\u03CC\u03C1\u03C5\u03BE\u03B7 \u03B4\u03B5\u03B4\u03BF\u03BC\u03AD\u03BD\u03C9\u03BD."@el . . . . . "Reconhecimento de padr\u00F5es \u00E9 uma \u00E1rea da ci\u00EAncia cujo objetivo \u00E9 a classifica\u00E7\u00E3o de objetos dentro de um n\u00FAmero de categorias ou classes. Esses objetos de estudo variam de acordo com cada aplica\u00E7\u00E3o, podem ser imagens, sinais em forma de ondas (como voz, luz, r\u00E1dio) ou qualquer tipo de medida que necessite ser classificada. Tendo aplica\u00E7\u00E3o em v\u00E1rios campos, tais como psicologia, etologia e ci\u00EAncia da computa\u00E7\u00E3o."@pt . . . . . . "Rozpoznawanie wzorc\u00F3w"@pl . "Pengenalan pola (bahasa Inggris: pattern recognition) merupakan bidang dalam pembelajaran mesin dan dapat diartikan sebagai \"tindakan mengambil data mentah dan bertindak berdasarkan klasifikasi data\". Dengan demikian, ia merupakan himpunan kaidah bagi pembelajaran diselia (supervised learning).Ada beberapa definisi lain tentang pengenalan pola, di antaranya: Berdasar beberapa definisi di atas, pengenalan pola bisa didefinisikan sebagai cabang kecerdasan yang menitik-beratkan pada metode pengklasifikasian objek ke dalam klas - klas tertentu untuk menyelesaikan masalah tertentu."@in . . . . . . . . . . . . . "Reconeixement de patrons"@ca . . . . . . . "El reconeixement de patrons, tamb\u00E9 anomenat lectura de patrons, identificaci\u00F3 de figures o reconeixement de formes, \u00E9s un proc\u00E9s de classificaci\u00F3 per categories de qualsevol tipus de mostres mitjan\u00E7ant dades observades o mesurades. El reconeixement de patrons en camps com la inform\u00E0tica, l'enginyeria i les matem\u00E0tiques est\u00E0 basat en un proc\u00E9s fonamental que es troba en la majoria d'accions que realitzen els \u00E9ssers vius."@ca . . "Riconoscimento di pattern"@it . . . . "\u062A\u0645\u064A\u064A\u0632 \u0627\u0644\u0623\u0646\u0645\u0627\u0637 \u0623\u0648 \u0627\u0644\u062A\u0639\u0631\u0641 \u0639\u0644\u0649 \u0627\u0644\u0623\u0646\u0645\u0627\u0637 \u0623\u0648 \u0627\u0644\u062A\u0639\u0631\u0641 \u0639\u0644\u0649 \u0627\u0644\u0646\u0645\u0627\u0630\u062C (\u0628\u0627\u0644\u0625\u0646\u062C\u0644\u064A\u0632\u064A\u0629 Pattern recognition) \u0647\u0648 \u0623\u062D\u062F \u0641\u0631\u0648\u0639 \u0639\u0644\u0645 \u062A\u0639\u0644\u0645 \u0627\u0644\u0623\u0644\u0629 \u0648\u0628\u0634\u0643\u0644 \u0639\u0627\u0645 \u0627\u0644\u0630\u0643\u0627\u0621 \u0627\u0644\u0627\u0635\u0637\u0646\u0627\u0639\u064A \u060C \u0648\u062A\u0647\u062F\u0641 \u0627\u0644\u0628\u062D\u0648\u062B \u0648\u0627\u0644\u062A\u0642\u0646\u064A\u0627\u062A \u0627\u0644\u062E\u0627\u0635\u0629 \u0628\u0647\u0630\u0627 \u0627\u0644\u0639\u0644\u0645 \u0625\u0644\u0649 \u0625\u064A\u062C\u0627\u062F \u0623\u0648 \u062A\u0637\u0648\u064A\u0631 \u062A\u0642\u0646\u064A\u0627\u062A \u0644\u0644\u062A\u0639\u0631\u0641 \u0639\u0644\u0649 \u0623\u0646\u0645\u0627\u0637 \u0623\u0648 \u0647\u064A\u0627\u0643\u0644 \u0645\u062D\u062F\u062F\u0629 \u0641\u064A \u0627\u0644\u0625\u0634\u0627\u0631\u0627\u062A \u0627\u0644\u0631\u0642\u0645\u064A\u0629\u060C \u062D\u064A\u062B \u064A\u0645\u0643\u0646 \u0644\u0644\u0625\u0634\u0627\u0631\u0629 \u0623\u0646 \u062A\u0645\u062B\u0644 \u0635\u0648\u0631\u0629 \u062A\u062D\u0648\u064A \u062D\u0631\u0641 \u0645\u0643\u062A\u0648\u0628 \u0623\u0648 \u0645\u0642\u0637\u0639 \u0645\u0648\u0633\u064A\u0642\u064A \u0623\u0648 \u0645\u0642\u0637\u0639 \u0643\u0644\u0627\u0645\u064A \u064A\u0645\u062B\u0644 \u0643\u0644\u0645\u0629 \u0623\u0648 \u062D\u062A\u0649 \u0646\u0635 \u062D\u0627\u0633\u0648\u0628\u064A\u060C \u0648\u064A\u0645\u0643\u0646 \u0623\u0646 \u064A\u0643\u0648\u0646 \u0627\u0644\u0646\u0645\u0637 \u0627\u0644\u0645\u0637\u0644\u0648\u0628 \u0627\u0644\u062A\u0639\u0631\u0641 \u0639\u0644\u064A\u0647 \u0647\u0648 \u0627\u0644\u062D\u0631\u0641 \u0627\u0644\u0630\u064A \u062A\u062D\u0648\u064A\u0647 \u0627\u0644\u0635\u0648\u0631\u0629 \u0623\u0648 \u0627\u0644\u0622\u0644\u0629 \u0627\u0644\u0645\u0633\u062A\u062E\u062F\u0645\u0629 \u0641\u064A \u0627\u0644\u0645\u0642\u0637\u0639 \u0627\u0644\u0645\u0648\u0633\u064A\u0642\u064A \u0623\u0648 \u0627\u0644\u0643\u0644\u0645\u0629 \u0627\u0644\u0645\u0644\u0641\u0648\u0638\u0629 \u0641\u064A \u0627\u0644\u0645\u0642\u0637\u0639 \u0627\u0644\u0643\u0644\u0627\u0645\u064A \u0623\u0648 \u062A\u062D\u062F\u064A\u062F \u0645\u0627 \u0625\u0630\u0627 \u0643\u0627\u0646 \u0627\u0644\u0646\u0635 \u0627\u0644\u062D\u0627\u0633\u0648\u0628\u064A \u064A\u062A\u062D\u062F\u062B \u0639\u0646 \u0627\u0644\u0641\u064A\u0632\u064A\u0627\u0621 \u0623\u0648 \u0627\u0644\u0623\u062F\u0628 \u0623\u0648 \u0627\u0644\u0633\u064A\u0627\u0633\u0629..."@ar . . "Reconhecimento de padr\u00F5es \u00E9 uma \u00E1rea da ci\u00EAncia cujo objetivo \u00E9 a classifica\u00E7\u00E3o de objetos dentro de um n\u00FAmero de categorias ou classes. Esses objetos de estudo variam de acordo com cada aplica\u00E7\u00E3o, podem ser imagens, sinais em forma de ondas (como voz, luz, r\u00E1dio) ou qualquer tipo de medida que necessite ser classificada. Tendo aplica\u00E7\u00E3o em v\u00E1rios campos, tais como psicologia, etologia e ci\u00EAncia da computa\u00E7\u00E3o. O reconhecimento de padr\u00F5es tem uma longa hist\u00F3ria, mas antes de 1960 era formada principalmente por estat\u00EDstica te\u00F3rica. O surgimento de computadores aumentou a demanda por aplica\u00E7\u00E3o pr\u00E1ticas capazes de reconhecer padr\u00F5es, que criaram novas demandas por desenvolvimentos te\u00F3ricos. Como nossa sociedade evolui de uma fase industrial para uma fase p\u00F3s-industrial, automa\u00E7\u00E3o da produ\u00E7\u00E3o industrial e a necessidade de modelos capazes de lidar com e recuperar informa\u00E7\u00E3o se tornar cada vez mais importantes. Essa tend\u00EAncia estimula o reconhecimento de padr\u00F5es para al\u00E9m dos limites de conhecimento e aplica\u00E7\u00E3o de hoje. Reconhecer padr\u00F5es \u00E9 hoje uma parte fundamental da maior parte dos sistemas de tomada de decis\u00E3o. Um sistema completo de reconhecimento de padr\u00F5es consiste de um sensor que obt\u00E9m observa\u00E7\u00F5es a serem classificadas ou descritas; um mecanismo de extra\u00E7\u00E3o de caracter\u00EDsticas que computa informa\u00E7\u00F5es num\u00E9ricas ou simb\u00F3licas das observa\u00E7\u00F5es; e um esquema de classifica\u00E7\u00E3o das observa\u00E7\u00F5es, que depende das caracter\u00EDsticas extra\u00EDdas. O esquema de classifica\u00E7\u00E3o \u00E9 geralmente baseado na disponibilidade de um conjunto de padr\u00F5es que foram anteriormente classificados, o \"conjunto de treinamento\"; o resultado do aprendizado \u00E9 caracterizado como um aprendizado supervisionado. O aprendizado pode tamb\u00E9m ser n\u00E3o supervisionado, de forma que o sistema n\u00E3o recebe informa\u00E7\u00F5es a priori dos padr\u00F5es, estabelecendo ent\u00E3o as classes dos padr\u00F5es atrav\u00E9s de an\u00E1lise de padr\u00F5es estat\u00EDsticos."@pt . . . . "\u0397 \u03B1\u03BD\u03B1\u03B3\u03BD\u03CE\u03C1\u03B9\u03C3\u03B7 \u03C0\u03C1\u03BF\u03C4\u03CD\u03C0\u03C9\u03BD (Pattern Recognition) \u03B5\u03AF\u03BD\u03B1\u03B9 \u03AD\u03BD\u03B1 \u03B5\u03C0\u03B9\u03C3\u03C4\u03B7\u03BC\u03BF\u03BD\u03B9\u03BA\u03CC \u03C0\u03B5\u03B4\u03AF\u03BF \u03BC\u03B5 \u03C3\u03C4\u03CC\u03C7\u03BF \u03C4\u03B7\u03BD \u03B1\u03BD\u03AC\u03C0\u03C4\u03C5\u03BE\u03B7 \u03B1\u03BB\u03B3\u03BF\u03C1\u03AF\u03B8\u03BC\u03C9\u03BD \u03B3\u03B9\u03B1 \u03C4\u03B7\u03BD \u03B1\u03C5\u03C4\u03BF\u03BC\u03B1\u03C4\u03BF\u03C0\u03BF\u03B9\u03B7\u03BC\u03AD\u03BD\u03B7 \u03B1\u03C0\u03CC\u03B4\u03BF\u03C3\u03B7 \u03BA\u03AC\u03C0\u03BF\u03B9\u03B1\u03C2 \u03C4\u03B9\u03BC\u03AE\u03C2 \u03AE \u03B4\u03B9\u03B1\u03BA\u03C1\u03B9\u03C4\u03B9\u03BA\u03BF\u03CD \u03C3\u03C4\u03BF\u03B9\u03C7\u03B5\u03AF\u03BF\u03C5 \u03C3\u03B5 \u03B5\u03B9\u03C3\u03B1\u03B3\u03CC\u03BC\u03B5\u03BD\u03B1 \u03B4\u03B5\u03B4\u03BF\u03BC\u03AD\u03BD\u03B1, \u03C3\u03C5\u03BD\u03AE\u03B8\u03C9\u03C2 \u03BA\u03C9\u03B4\u03B9\u03BA\u03BF\u03C0\u03BF\u03B9\u03B7\u03BC\u03AD\u03BD\u03B1 \u03C9\u03C2 \u03B1\u03BB\u03BB\u03B7\u03BB\u03BF\u03C5\u03C7\u03AF\u03B5\u03C2 \u03B1\u03C1\u03B9\u03B8\u03BC\u03CE\u03BD. \u039A\u03B1\u03C4' \u03B1\u03C5\u03C4\u03CC\u03BD \u03C4\u03BF\u03BD \u03C4\u03C1\u03CC\u03C0\u03BF, \u03B5\u03BD\u03B4\u03B5\u03B9\u03BA\u03C4\u03B9\u03BA\u03AC, \u03C4\u03B1 \u03B4\u03B5\u03B4\u03BF\u03BC\u03AD\u03BD\u03B1 \u03B1\u03C5\u03C4\u03CC\u03BC\u03B1\u03C4\u03B1 \u03C4\u03B1\u03BE\u03B9\u03BD\u03BF\u03BC\u03BF\u03CD\u03BD\u03C4\u03B1\u03B9 \u03C3\u03B5 \u03BA\u03B1\u03C4\u03B7\u03B3\u03BF\u03C1\u03AF\u03B5\u03C2 \u03AE \u03B4\u03B9\u03B1\u03C7\u03C9\u03C1\u03AF\u03B6\u03BF\u03BD\u03C4\u03B1\u03B9 \u03C3\u03B5 \u03BF\u03BC\u03AC\u03B4\u03B5\u03C2 \u03BC\u03B5 \u03B2\u03AC\u03C3\u03B7 \u03BA\u03AC\u03C0\u03BF\u03B9\u03B1 \u03BA\u03C1\u03B9\u03C4\u03AE\u03C1\u03B9\u03B1, \u03B1\u03BA\u03CC\u03BC\u03B1 \u03BA\u03B1\u03B9 \u03C5\u03C0\u03CC \u03C4\u03B7\u03BD \u03C0\u03B1\u03C1\u03BF\u03C5\u03C3\u03AF\u03B1 \u03B8\u03BF\u03C1\u03CD\u03B2\u03BF\u03C5 \u03BF \u03BF\u03C0\u03BF\u03AF\u03BF\u03C2 \u03B4\u03C5\u03C3\u03BA\u03BF\u03BB\u03B5\u03CD\u03B5\u03B9 \u03C4\u03B7\u03BD \u03B1\u03BD\u03B1\u03B3\u03BD\u03CE\u03C1\u03B9\u03C3\u03B7, \u03C9\u03B8\u03CE\u03BD\u03C4\u03B1\u03C2 \u03C3\u03C5\u03BD\u03AE\u03B8\u03C9\u03C2 \u03C4\u03B1 \u03B4\u03B5\u03B4\u03BF\u03BC\u03AD\u03BD\u03B1 \u03BD\u03B1 \u03BC\u03BF\u03B9\u03AC\u03B6\u03BF\u03C5\u03BD \u03C0\u03B5\u03C1\u03B9\u03C3\u03C3\u03CC\u03C4\u03B5\u03C1\u03BF \u03C4\u03C5\u03C7\u03B1\u03AF\u03B1 \u03B1\u03C0' \u03CC\u03C3\u03BF \u03C0\u03C1\u03B1\u03B3\u03BC\u03B1\u03C4\u03B9\u03BA\u03AC \u03B5\u03AF\u03BD\u03B1\u03B9. \u03A4\u03BF \u03B5\u03C1\u03B5\u03C5\u03BD\u03B7\u03C4\u03B9\u03BA\u03CC \u03B5\u03BD\u03B4\u03B9\u03B1\u03C6\u03AD\u03C1\u03BF\u03BD \u03B3\u03B9\u03B1 \u03C4\u03B7\u03BD \u03B1\u03BD\u03B1\u03B3\u03BD\u03CE\u03C1\u03B9\u03C3\u03B7 \u03C0\u03C1\u03BF\u03C4\u03CD\u03C0\u03C9\u03BD \u03AD\u03C7\u03B5\u03B9 \u03C4\u03B9\u03C2 \u03C1\u03AF\u03B6\u03B5\u03C2 \u03C4\u03BF\u03C5 \u03C3\u03C4\u03B7 \u03B4\u03B5\u03BA\u03B1\u03B5\u03C4\u03AF\u03B1 \u03C4\u03BF\u03C5 1960, \u03BA\u03B1\u03C4\u03AC \u03C4\u03B7\u03BD \u03C0\u03C1\u03CE\u03C4\u03B7 \u03C0\u03B5\u03C1\u03AF\u03BF\u03B4\u03BF \u03B1\u03BD\u03AC\u03C0\u03C4\u03C5\u03BE\u03B7\u03C2 \u03C4\u03B7\u03C2 \u03C0\u03BB\u03B7\u03C1\u03BF\u03C6\u03BF\u03C1\u03B9\u03BA\u03AE\u03C2 \u03BA\u03B1\u03B9, \u03B5\u03B9\u03B4\u03B9\u03BA\u03CC\u03C4\u03B5\u03C1\u03B1, \u03C4\u03B7\u03C2 \u03C4\u03B5\u03C7\u03BD\u03B7\u03C4\u03AE\u03C2 \u03BD\u03BF\u03B7\u03BC\u03BF\u03C3\u03CD\u03BD\u03B7\u03C2."@el . . . . "\u6A21\u5F0F\u8BC6\u522B"@zh . "Mustererkennung"@de . . . "\u30D1\u30BF\u30FC\u30F3\u8A8D\u8B58\uFF08\u30D1\u30BF\u30FC\u30F3\u306B\u3093\u3057\u304D\u3001\u82F1: Pattern recognition\uFF09\u306F\u81EA\u7136\u60C5\u5831\u51E6\u7406\u306E\u3072\u3068\u3064\u3002\u753B\u50CF\u30FB\u97F3\u58F0\u306A\u3069\u306E\u96D1\u591A\u306A\u60C5\u5831\u3092\u542B\u3080\u30C7\u30FC\u30BF\u306E\u4E2D\u304B\u3089\u3001\u4E00\u5B9A\u306E\u898F\u5247\u3084\u610F\u5473\u3092\u6301\u3064\u5BFE\u8C61\u3092\u9078\u5225\u3057\u3066\u53D6\u308A\u51FA\u3059\u51E6\u7406\u3067\u3042\u308B\u3002"@ja . . . . . . "Rozpoznawanie wzorc\u00F3w \u2013 pole badawcze w obr\u0119bie uczenia maszynowego. Mo\u017Ce by\u0107 definiowane jako dzia\u0142anie polegaj\u0105ce na pobieraniu surowych danych i podejmowaniu dalszych czynno\u015Bci zale\u017Cnych od kategorii do kt\u00F3rej nale\u017C\u0105 te dane. W rozpoznawaniu wzorc\u00F3w d\u0105\u017Cy si\u0119 do klasyfikacji danych (wzorc\u00F3w) w oparciu o wiedz\u0119 aprioryczn\u0105 lub o informacje uzyskane na drodze statystycznej analizy danych s\u0142u\u017C\u0105cej wydobywaniu cech obiekt\u00F3w. Klasyfikowane wzorce to zazwyczaj grupy wynik\u00F3w pomiaru lub obserwacji definiuj\u0105ce po\u0142o\u017Cenie odpowiadaj\u0105cych im punkt\u00F3w w wielowymiarowej przestrzeni cech."@pl . . . "La reconnaissance de formes (ou parfois reconnaissance de motifs) est un ensemble de techniques et m\u00E9thodes visant \u00E0 identifier des r\u00E9gularit\u00E9s informatiques \u00E0 partir de donn\u00E9es brutes afin de prendre une d\u00E9cision d\u00E9pendant de la cat\u00E9gorie attribu\u00E9e \u00E0 ce motif. On consid\u00E8re que c'est une branche de l'intelligence artificielle qui fait largement appel aux techniques d'apprentissage automatique et aux statistiques. Le mot forme est \u00E0 comprendre dans un sens tr\u00E8s g\u00E9n\u00E9ral, pas seulement celui de \u00AB forme g\u00E9om\u00E9trique \u00BB mais plut\u00F4t de r\u00E9gularit\u00E9s ou motifs qui peuvent \u00EAtre de nature tr\u00E8s vari\u00E9e. Il peut s'agir de contenu visuel (code-barres, visage, empreinte digitale\u2026) ou sonore (reconnaissance de parole), d'images m\u00E9dicales (rayon X, EEG, IRM\u2026) ou multispectrales (images satellitaires) et bien d'autres."@fr . . . . "Reconocimiento de patrones"@es . . . . . "\u0422\u0435\u043E\u0440\u0438\u044F \u0440\u0430\u0441\u043F\u043E\u0437\u043D\u0430\u0432\u0430\u0301\u043D\u0438\u044F \u043E\u0301\u0431\u0440\u0430\u0437\u043E\u0432 \u2014 \u0440\u0430\u0437\u0434\u0435\u043B \u0438\u043D\u0444\u043E\u0440\u043C\u0430\u0442\u0438\u043A\u0438 \u0438 \u0441\u043C\u0435\u0436\u043D\u044B\u0445 \u0434\u0438\u0441\u0446\u0438\u043F\u043B\u0438\u043D, \u0440\u0430\u0437\u0432\u0438\u0432\u0430\u044E\u0449\u0438\u0439 \u043E\u0441\u043D\u043E\u0432\u044B \u0438 \u043C\u0435\u0442\u043E\u0434\u044B \u043A\u043B\u0430\u0441\u0441\u0438\u0444\u0438\u043A\u0430\u0446\u0438\u0438 \u0438 \u0438\u0434\u0435\u043D\u0442\u0438\u0444\u0438\u043A\u0430\u0446\u0438\u0438 \u043F\u0440\u0435\u0434\u043C\u0435\u0442\u043E\u0432, \u044F\u0432\u043B\u0435\u043D\u0438\u0439, \u043F\u0440\u043E\u0446\u0435\u0441\u0441\u043E\u0432, \u0441\u0438\u0433\u043D\u0430\u043B\u043E\u0432, \u0441\u0438\u0442\u0443\u0430\u0446\u0438\u0439 \u0438 \u0442. \u043F. \u043E\u0431\u044A\u0435\u043A\u0442\u043E\u0432, \u043A\u043E\u0442\u043E\u0440\u044B\u0435 \u0445\u0430\u0440\u0430\u043A\u0442\u0435\u0440\u0438\u0437\u0443\u044E\u0442\u0441\u044F \u043A\u043E\u043D\u0435\u0447\u043D\u044B\u043C \u043D\u0430\u0431\u043E\u0440\u043E\u043C \u043D\u0435\u043A\u043E\u0442\u043E\u0440\u044B\u0445 \u0441\u0432\u043E\u0439\u0441\u0442\u0432 \u0438 \u043F\u0440\u0438\u0437\u043D\u0430\u043A\u043E\u0432. \u0422\u0430\u043A\u0438\u0435 \u0437\u0430\u0434\u0430\u0447\u0438 \u0440\u0435\u0448\u0430\u044E\u0442\u0441\u044F \u0434\u043E\u0432\u043E\u043B\u044C\u043D\u043E \u0447\u0430\u0441\u0442\u043E, \u043D\u0430\u043F\u0440\u0438\u043C\u0435\u0440, \u043F\u0440\u0438 \u043F\u0435\u0440\u0435\u0445\u043E\u0434\u0435 \u0438\u043B\u0438 \u043F\u0440\u043E\u0435\u0437\u0434\u0435 \u0443\u043B\u0438\u0446\u044B \u043F\u043E \u0441\u0438\u0433\u043D\u0430\u043B\u0430\u043C \u0441\u0432\u0435\u0442\u043E\u0444\u043E\u0440\u0430. \u0420\u0430\u0441\u043F\u043E\u0437\u043D\u0430\u0432\u0430\u043D\u0438\u0435 \u0446\u0432\u0435\u0442\u0430 \u0437\u0430\u0433\u043E\u0440\u0435\u0432\u0448\u0435\u0439\u0441\u044F \u043B\u0430\u043C\u043F\u044B \u0441\u0432\u0435\u0442\u043E\u0444\u043E\u0440\u0430 \u0438 \u0437\u043D\u0430\u043D\u0438\u0435 \u043F\u0440\u0430\u0432\u0438\u043B \u0434\u043E\u0440\u043E\u0436\u043D\u043E\u0433\u043E \u0434\u0432\u0438\u0436\u0435\u043D\u0438\u044F \u043F\u043E\u0437\u0432\u043E\u043B\u044F\u0435\u0442 \u043F\u0440\u0438\u043D\u044F\u0442\u044C \u043F\u0440\u0430\u0432\u0438\u043B\u044C\u043D\u043E\u0435 \u0440\u0435\u0448\u0435\u043D\u0438\u0435 \u043E \u0442\u043E\u043C, \u043C\u043E\u0436\u043D\u043E \u0438\u043B\u0438 \u043D\u0435\u043B\u044C\u0437\u044F \u043F\u0435\u0440\u0435\u0445\u043E\u0434\u0438\u0442\u044C \u0443\u043B\u0438\u0446\u0443."@ru . . . . . . . . "\u30D1\u30BF\u30FC\u30F3\u8A8D\u8B58\uFF08\u30D1\u30BF\u30FC\u30F3\u306B\u3093\u3057\u304D\u3001\u82F1: Pattern recognition\uFF09\u306F\u81EA\u7136\u60C5\u5831\u51E6\u7406\u306E\u3072\u3068\u3064\u3002\u753B\u50CF\u30FB\u97F3\u58F0\u306A\u3069\u306E\u96D1\u591A\u306A\u60C5\u5831\u3092\u542B\u3080\u30C7\u30FC\u30BF\u306E\u4E2D\u304B\u3089\u3001\u4E00\u5B9A\u306E\u898F\u5247\u3084\u610F\u5473\u3092\u6301\u3064\u5BFE\u8C61\u3092\u9078\u5225\u3057\u3066\u53D6\u308A\u51FA\u3059\u51E6\u7406\u3067\u3042\u308B\u3002"@ja . . . "Il riconoscimento di pattern (in inglese, pattern recognition) \u00E8 una sottoarea dell'apprendimento automatico. Esso consiste nell'analisi e identificazione di pattern all'interno di dati grezzi al fine di identificarne la classificazione. La maggior parte della ricerca nel campo riguarda metodi di apprendimento supervisionato e non supervisionato. Il riconoscimento di pattern \u00E8 studiato in molti campi, tra cui psicologia, psichiatria, etologia, scienze cognitive e informatica."@it . . . . "Pattern recognition is the automated recognition of patterns and regularities in data. It has applications in statistical data analysis, signal processing, image analysis, information retrieval, bioinformatics, data compression, computer graphics and machine learning. Pattern recognition has its origins in statistics and engineering; some modern approaches to pattern recognition include the use of machine learning, due to the increased availability of big data and a new abundance of processing power. These activities can be viewed as two facets of the same field of application, and they have undergone substantial development over the past few decades."@en . "El reconocimiento de patrones es la ciencia que se ocupa de los procesos sobre ingenier\u00EDa, computaci\u00F3n y matem\u00E1ticas relacionados con objetos f\u00EDsicos o abstractos, con el prop\u00F3sito de extraer informaci\u00F3n que permita establecer propiedades de entre conjuntos de dichos objetos."@es . . . . . . . . .