Pattern Recognition
$14.64
/
1 in stock
Pickup available at Bookstore (Hours: Open Everyday, 8 am to 4 pm)
Usually ready in 24 hours
About this item
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.
· Thoroughly developed to include many more worked examples to give greater understanding of the various methods and techniques
· Many more diagrams included--now in two color--to 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 non-linear dimensionality reduction techniques, relevance feedback, semi-supervised 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 real-life 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 included--now in two color--to 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 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) 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 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
ASIN: 1597492728
VSKU: DBV.1597492728.G
Condition: Good
Author/Artist:Koutroumbas, Konstantinos|Theodoridis, Sergios
Binding: Hardcover
Note: Any images shown are stock photographs and product may differ from what is shown.
Condition Notes: Gently used with minimal wear on the corners and cover. A few pages may contain light highlighting or writing, but the text remains fully legible. Dust jacket may be missing, and supplemental materials like CDs or codes may not be included. May be ex-library with library markings. Ships promptly!
ASIN: 1597492728
VSKU: DBV.1597492728.G
Condition: Good
Author/Artist:Koutroumbas, Konstantinos|Theodoridis, Sergios
Binding: Hardcover
Note: Any images shown are stock photographs and product may differ from what is shown.
Condition Notes: Gently used with minimal wear on the corners and cover. A few pages may contain light highlighting or writing, but the text remains fully legible. Dust jacket may be missing, and supplemental materials like CDs or codes may not be included. May be ex-library with library markings. Ships promptly!
Note on Condition
Most of the items in our store are used. The item's condition grade is indicated near the bottom of the product description. If you have any questions regarding specific details of an item, please contact us. We use the following rating scale:
Books:
- Used - Very Good: Item may have minor cosmetic defects (marks, wears, cuts, bends, crushes) on the cover, spine, pages or dust cover. Shrink wrap, dust covers, or boxed set case may be missing. Item may contain remainder marks on outside edges, which should be noted in listing comments. Item may be missing bundled media.
- Used - Good: All pages and cover are intact (including the dust cover, if applicable). Spine may show signs of wear. Pages may include limited notes and highlighting. Gently used ex-library books with library stickers and markings may be classified as good. Shrink wrap, dust covers, or boxed set case may be missing. Item may be missing bundled media.
- Used - Acceptable: All pages and the cover are intact, but shrink wrap, dust covers, or boxed set case may be missing. Pages may include limited notes, highlighting, or minor water damage but the text is readable. Item may but the dust cover may be missing. Pages may include limited notes and highlighting, but the text cannot be obscured or unreadable.
CDs/DVDs/Discs:
- Used - Good: Case may be damaged or come repackaged. Disc may have up to 1.5cm marking but is in great working condition.
- Used - Acceptable: A product with extensive external signs of wear, but is in great working condition. The case may be damaged. The cover art, liner, notes, or other inclusion may be marked, or one or all of these items may be missing.
Shipping & Returns
Shipping: Most orders are shipped within 2 business days.
Returns: We want you to be completely satisfied with your purchase. If you're not, you can return your order within 30 days of purchase for a refund.
Fast Shipping
Orders are typically processed and shipped within 2 days
Competitive Pricing
We've streamlined our processes to provide competitive prices on all our titles
Exceptional Customer Service
Our dedicated team is committed to providing outstanding customer support
