Books about Recognition from Amazon.com

With more than 15 years of extensive observations and experiences in real classrooms, the authors bring keen insight to this activity-based book. They advocate basing student learning on the appropriate developmental level. This philosophy is supported with more than 250 ready-to-use word study, spelling, vocabulary, and phonics activities presented in developmental sequence, from the Emergent through the Derivational Relation stage. For educators and school administrators..
Price: $31.91 [Notify me when price goes down.]

The accolades and acclaim are endless for William Gibson's coast-to-coast bestseller Set in the post-9/11 present, Pattern Recognition is the story of one woman's never-ending search for the now..
Price: $3.88 [Notify me when price goes down.]

An accessible and insightful PR guide from a top adviser to the rich and powerful

Media attention can boost careers, generate millions of dollars, and make dreams come true. It can also destroy reputations and derail carefully laid business plans. All publicity is not good publicity.

No one knows this better than Howard Bragman. For more than thirty years he has helped prominent people—movie stars, business leaders, philanthropists— get their messages out, in good times and bad.

His book won’t make anyone famous overnight, but it will help readers understand the changing world of today’s PR. If your public’s perception doesn’t match reality—if you are a better person, offer a better product, or stand for a better cause than anyone realizes— you need help. Bragman shows how to:

• Understand your real target audience
• Respect what the media needs and wants
• Give memorable interviews, even during a crisis
• Handle the new challenges of the Internet age

He illustrates his lessons with juicy examples, from Frank Sinatra and Madonna to Coca-Cola and Monica Lewinsky. Whether you’re trying to build a business, advance your career, or change the world, there’s much to be learned from Bragman’s insights and experience..
Price: $16.25 [Notify me when price goes down.]

The dramatic growth in practical applications for machine learning over the last ten years has been accompanied by many important developments in the underlying algorithms and techniques. For example, Bayesian methods have grown from a specialist niche to become mainstream, while graphical models have emerged as a general framework for describing and applying probabilistic techniques. The practical applicability of Bayesian methods has been greatly enhanced by the development of a range of approximate inference algorithms such as variational Bayes and expectation propagation, while new models based on kernels have had a significant impact on both algorithms and applications.

This completely new textbook reflects these recent developments while providing a comprehensive introduction to the fields of pattern recognition and machine learning. It is aimed at advanced undergraduates or first-year PhD students, as well as researchers and practitioners. No previous knowledge of pattern recognition or machine learning concepts is assumed. Familiarity with multivariate calculus and basic linear algebra is required, and some experience in the use of probabilities would be helpful though not essential as the book includes a self-contained introduction to basic probability theory.

The book is suitable for courses on machine learning, statistics, computer science, signal processing, computer vision, data mining, and bioinformatics. Extensive support is provided for course instructors, including more than 400 exercises, graded according to difficulty. Example solutions for a subset of the exercises are available from the book web site, while solutions for the remainder can be obtained by instructors from the publisher. The book is supported by a great deal of additional material, and the reader is encouraged to visit the book web site for the latest information.

Coming soon:

*For students, worked solutions to a subset of exercises available on a public web site (for exercises marked "www" in the text)

*For instructors, worked solutions to remaining exercises from the Springer web site

*Lecture slides to accompany each chapter

*Data sets available for download

.
Price: $62.85 [Notify me when price goes down.]

Learning OpenCV puts you right in the middle of the rapidly expanding field of computer vision. Written by the creators of OpenCV, the widely used free open-source library, this book introduces you to computer vision and demonstrates how you can quickly build applications that enable computers to "see" and make decisions based on the data. Computer vision is everywhere -- in security systems, manufacturing inspection systems, medical image analysis, Unmanned Aerial Vehicles, and more. It helps robot cars drive by themselves, stitches Google maps and Google Earth together, checks the pixels on your laptop's LCD screen, and makes sure the stitches in your shirt are OK. OpenCV provides an easy-to-use computer vision infrastructure along with a comprehensive library containing more than 500 functions that can run vision code in real time. With Learning OpenCV, any developer or hobbyist can get up and running with the framework quickly, whether it's to build simple or sophisticated vision applications. The book includes: A thorough introduction to OpenCV Getting input from cameras Transforming images Shape matching Pattern recognition, including face detection Segmenting images Tracking and motion in 2 and 3 dimensions Machine learning algorithms

Hands-on exercises at the end of each chapter help you absorb the concepts, and an appendix explains how to set up an OpenCV project in Visual Studio. OpenCV is written in performance optimized C/C++ code, runs on Windows, Linux, and Mac OS X, and is free for commercial and research use under a BSD license. Getting machines to see is a challenging but entertaining goal. If you're intrigued by the possibilities, Learning OpenCV gets you started onbuilding computer vision applications of your own..
Price: $37.47 [Notify me when price goes down.]

LEARNING MATERIALS. Language Arts. Word Skills.
Price: $9.10 [Notify me when price goes down.]

Text provides a catalog of sixty-five patterns, with real-world solutions that demonstrate the formidable power of messaging and help you design effective messaging solutions for your enterprise. DLC: Telecommunication--Message processing..
Price: $41.99 [Notify me when price goes down.]