{"product_id":"9780080949123","title":"Pattern Recognition","description":"\u003cp\u003eThis 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 engineering. The authors, leading experts in the field of pattern recognition, have provided an up-to-date, self-contained volume encapsulating this wide spectrum of information. The very latest methods are incorporated in this edition: semi-supervised learning, combining clustering algorithms, and relevance feedback. \u003c\/p\u003e \u003cp\u003e· Thoroughly developed to include many more worked examples to give greater understanding of the various methods and techniques\u003c\/p\u003e \u003cp\u003e· Many more diagrams included--now in two color--to provide greater insight through visual presentation\u003c\/p\u003e \u003cul\u003e \u003c\/ul\u003e \u003cp\u003e· Matlab code of the most common methods are given at the end of each chapter.\u003c\/p\u003e \u003cul\u003e \u003c\/ul\u003e \u003cul\u003e \u003c\/ul\u003e \u003cp\u003e· More Matlab code is available, together with an accompanying manual, via this site \u003c\/p\u003e \u003cul\u003e \u003c\/ul\u003e \u003cp\u003e· Latest hot topics included to further the reference value of the text including non-linear dimensionality reduction techniques, relevance feedback, semi-supervised learning, spectral clustering, combining clustering algorithms.\u003c\/p\u003e \u003cp\u003e· An accompanying book with Matlab code of the most common methods and algorithms in the book, together with a descriptive summary, and solved examples including real-life data sets in imaging, and audio recognition. The companion book will be available separately or at a special packaged price (ISBN: 9780123744869). \u003c\/p\u003e\u003cli\u003eThoroughly developed to include many more worked examples to give greater understanding of the various methods and techniques  \u003c\/li\u003e\u003cli\u003eMany more diagrams included--now in two color--to provide greater insight through visual presentation  \u003c\/li\u003e\u003cli\u003eMatlab code of the most common methods are given at the end of each chapter  \u003c\/li\u003e\u003cli\u003eAn accompanying book with Matlab code of the most common methods and algorithms in the book, together with a descriptive summary and solved examples, and including real-life data sets in imaging and audio recognition. The companion book is available separately or at a special packaged price (Book ISBN: 9780123744869. Package ISBN: 9780123744913)  \u003c\/li\u003e\u003cli\u003eLatest hot topics included to further the reference value of the text including non-linear dimensionality reduction techniques, relevance feedback, semi-supervised learning, spectral clustering, combining clustering algorithms  \u003c\/li\u003e\u003cli\u003eSolutions manual, powerpoint slides, and additional resources are available to faculty using the text for their course. Register at www.textbooks.elsevier.com and search on \"Theodoridis\" to access resources for instructor. \u003c\/li\u003e","brand":"Elsevier Science","offers":[{"title":"Default Title","offer_id":47078519734512,"sku":"9780080949123","price":107.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0737\/7593\/9824\/files\/9780080949123_p0.jpg?v=1763638057","url":"https:\/\/shop-qa.barnesandnoble.com\/products\/9780080949123","provider":"Barnes \u0026 Noble (DEV)","version":"1.0","type":"link"}