{"id":48366,"date":"2023-04-07T07:30:48","date_gmt":"2023-04-07T07:30:48","guid":{"rendered":"https:\/\/shoppingdealer.com\/?p=48366"},"modified":"2023-04-07T07:30:48","modified_gmt":"2023-04-07T07:30:48","slug":"pattern-recognition","status":"publish","type":"post","link":"https:\/\/shoppingdealer.com\/?p=48366","title":{"rendered":"Pattern Recognition"},"content":{"rendered":"


\nPrice: [price_with_discount]<\/span>
(as of [price_update_date] \u2013 Details<\/span>)<\/small><\/i><\/p>\n

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\n 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 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. <\/p>\n

\u00b7 Thoroughly developed to include many more worked examples to give greater understanding of the various methods and techniques
\u00b7 Many more diagrams included\u2013now in two color\u2013to provide greater insight through visual presentation
\u00b7 Matlab code of the most common methods are given at the end of each chapter.
\u00b7 More Matlab code is available, together with an accompanying manual, via this site
\u00b7 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.
\u00b7 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). <\/p>\n

Publisher \u200f : \u200e Academic Press; 4th edition (November 3, 2008)
Language \u200f : \u200e English
Hardcover \u200f : \u200e 984 pages
ISBN-10 \u200f : \u200e 1597492728
ISBN-13 \u200f : \u200e 978-1597492720
Item Weight \u200f : \u200e 4.04 pounds
Dimensions \u200f : \u200e 7.6 x 2 x 9.3 inches <\/p>\n

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Price: [price_with_discount](as of [price_update_date] \u2013 Details) [ad_1] 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 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 […]<\/p>\n","protected":false},"author":1,"featured_media":48367,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"om_disable_all_campaigns":false,"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"_jetpack_newsletter_access":"","_jetpack_dont_email_post_to_subs":false,"_jetpack_newsletter_tier_id":0,"_jetpack_memberships_contains_paywalled_content":false,"_jetpack_feature_clip_id":0,"_jetpack_memberships_contains_paid_content":false,"footnotes":"","jetpack_post_was_ever_published":false},"categories":[4],"tags":[],"class_list":["post-48366","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-cellphones-telecommunications"],"aioseo_notices":[],"aioseo_head":"\n\t\t\n\t\n\t\n\t\n\t\n\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t