Ability to recognize patterns is among the most crucial capabilities of human beings for their survival, which enables them to employ their sophisticated neural and cognitive systems [Duda et al., 2000], for processing complex audio, visual, smell, touch and taste signals. Man is the most complex and the best existing system of pattern recognition. Without any explicit thinking, we continuously compare, classify and identify huge amount of signally data everyday [Kuncheva, 2004], start from the time we get up in the morning till the last second we fall asleep. This includes recognizing the face of a friend in a crowd, a spoken word embedded in noise, the proper key to lock the door, smell of coffee, the voice of a favorite singer, the recognition of alphabetic characters and millions of more tasks that we perform on regular basis.
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Luqman received his Ph.D. in Computer Science in 2012 from University of Tours, France and Autonoma University of Barcelona, Spain - after a research masters in 2008. In 2004 he was awarded gold medal and academic roll of honor by Government College University Lahore, Pakistan, for achieving distinction in Bachelors of Computer Science (honors).
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Taschenbuch. Zustand: Neu. Fuzzy Multilevel Graph Embedding | for Recognition, Indexing and Retrieval of Graphic Document Images | Muhammad Muzzamil Luqman | Taschenbuch | 180 S. | Englisch | 2013 | LAP LAMBERT Academic Publishing | EAN 9783659494079 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Artikel-Nr. 105566791
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