This book considers classical and current theory and practice, of supervised, unsupervised and semi-supervised pattern recognition, to build a complete background for professionals and students of... This description may be from another edition of this product.
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Algorithms Business & Management Computer Science Computer Technology Computers Computers & Technology Electrical & Electronic Engineering Electrical & Electronics Engineering Engineering & Transportation History Human Vision & Language Systems Imaging Systems Internet, Groupware, & Telecommunications Machine Vision Optics Pattern Recognition Physics Political History Political Science Politics & Government Programming Science Science & Math Science & Scientists Science & Technology Software Technology Telecommunications & Sensors Textbooks