Cayce Pollard is an expensive, spookily intuitive market-research consultant. In London on a job, she is offered a secret assignment: to investigate some intriguing snippets of video that have been appearing on the Internet. An entire subculture of people is obsessed with these bits of footage, and anybody who can create that kind of brand loyalty would be a gold mine for Cayce’s client. But when her borrowed apartment is burgled and her computer hacked, she realizes there’s more to this project than she had expected. Still, Cayce is her father’s daughter, and the danger makes her stubborn. Win Pollard, ex-security expert, probably ex-CIA, took a taxi in the direction of the World Trade Center on September 11 one year ago, and is presumed dead. Win taught Cayce a bit about the way agents work. She is still numb at his loss, and, as much for him as for any other reason, she refuses to give up this newly weird job, which will take her to Tokyo and on to Russia. With help and betrayal from equally unlikely quarters, Cayce will follow the trail of the mysterious film to its source, and in the process will learn something about her father’s life and death.
Pattern Recognition
$17.00
This contemporary thriller explores modern themes of technology and globalization, enhancing cultural literacy and reading skills.
Additional information
| Weight | 0.68 lbs |
|---|---|
| Dimensions | 16 × 3.6 × 23.7 in |
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Pattern Recognition
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This textbook provides a comprehensive understanding of pattern recognition theory and practice for students of engineering and computer science.
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
Features
- Frame Color: Matte Black/ Grey
- Lens Color: Mirrored Brown
- Gender: Unisex
- Size:72-10-115
- Made In: Austria
Additional information
| Weight | 1.837 lbs |
|---|---|
| Dimensions | 19.3 × 5.1 × 23.6 in |
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