Title
Pattern Recognition,New
Delivery time: 8-12 business days (International)
This book considers classical and current theory and practice, of supervised, unsupervised and semisupervised 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 uptodate, selfcontained volume encapsulating this wide spectrum of information. The very latest methods are incorporated in this edition: semisupervised learning, combining clustering algorithms, and relevance feedback. Thoroughly developed to include many more worked examples to give greater understanding of the various methods and techniques Many more diagrams includednow in two colorto provide greater insight through visual presentation Matlab code of the most common methods are given at the end of each chapter. More Matlab code is available, together with an accompanying manual, via this site Latest hot topics included to further the reference value of the text including nonlinear dimensionality reduction techniques, relevance feedback, semisupervised learning, spectral clustering, combining clustering algorithms. 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 reallife data sets in imaging, and audio recognition. The companion book will be available separately or at a special packaged price (ISBN: 9780123744869). Thoroughly developed to include many more worked examples to give greater understanding of the various methods and techniques Many more diagrams includednow in two colorto provide greater insight through visual presentation Matlab code of the most common methods are given at the end of each chapter An 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 reallife 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) Latest hot topics included to further the reference value of the text including nonlinear dimensionality reduction techniques, relevance feedback, semisupervised learning, spectral clustering, combining clustering algorithms Solutions 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
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Shipping & Returns
Shipping
We ship your order within 2–3 business days for USA deliveries and 5–8 business days for international shipments. Once your package has been dispatched from our warehouse, you'll receive an email confirmation with a tracking number, allowing you to track the status of your delivery.
Returns
To facilitate a smooth return process, a Return Authorization (RA) Number is required for all returns. Returns without a valid RA number will be declined and may incur additional fees. You can request an RA number within 15 days of the original delivery date. For more details, please refer to our Return & Refund Policy page.
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Warranty
We provide a 2-year limited warranty, from the date of purchase for all our products.
If you believe you have received a defective product, or are experiencing any problems with your product, please contact us.
This warranty strictly does not cover damages that arose from negligence, misuse, wear and tear, or not in accordance with product instructions (dropping the product, etc.).
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