An Introduction to Pattern Recognition Michael Alder

 Michael Alder, "An Introduction to Pattern Recognition"  [Repost]

Michael Alder, "An Introduction to Pattern Recognition"
English | 2001 | ISBN: N/A | 561 Pages | PDF | 4 MB

Pattern Classification, more often called Pattern Recognition, is the primary bottleneck in the task of automation. Robots without sensors have their uses, but they are limited and dangerous. In fact one might plausibly argue that a robot without sensors isn't a realrobot at all, whatever the hardware manufacturers may say.

An Introduction to Pattern Recognition (Repost)  

Posted by step778 at April 25, 2013
An Introduction to Pattern Recognition (Repost)

Michael Alder, "An Introduction to Pattern Recognition"
2001 | pages: 561 | ISBN: N/a | PDF | 4,4 mb

An Introduction to Pattern Recognition  

Posted by lenami at May 14, 2011
An Introduction to Pattern Recognition

An Introduction to Pattern Recognition
Publisher: Michael Alder | ISBN: N/A | edition 2001 | PDF | 561 pages | 4,3 mb

If you point a video camera at the world, you get back an array of pixels each with a particular gray level or colour. You might get a square array of 512 by 512 such pixels, and each pixel value would, on a gray
scale, perhaps, be represented by a number between 0 (black) and 255 (white). If the image is in colour, there will be three such numbers for each of the pixels, say the intensity of red, blue and green at the
pixel location.
Introduction to Pattern Recognition by Abraham Kandel [Repost]

Introduction to Pattern Recognition : Statistical, Structural, Neural and Fuzzy Logic Approaches by Abraham Kandel
World Scientific Pub Co Inc | December 1999 | English | ISBN: 9810233124 | 344 pages | DJVU | 1 MB

An introduction to pattern recognition, this text is meant for students in computer science and related fields in science and technology. Algorithms and real world applications accompany most of the topics in the text. In addition to statistical and structural approaches, novel topics such as fuzzy pattern recognition and pattern recognition via neural networks are also reviewed. Each topic is followed by several examples solved in detail.
An Introduction to Object Recognition: Selected Algorithms for a Wide Variety of Applications (repost)

An Introduction to Object Recognition: Selected Algorithms for a Wide Variety of Applications by Marco Alexander Treiber
English | 2010 | ISBN: 1849962340 | 201 pages | PDF | 8,1 MB

Introduction To Pattern Recognition And Machine Learning  eBooks & eLearning

Posted by nebulae at May 20, 2015
Introduction To Pattern Recognition And Machine Learning

M Narasimha Et Al Murty, "Introduction To Pattern Recognition And Machine Learning"
English | ISBN: 9814335452 | 2015 | 404 pages | PDF | 2 MB
An Introduction to Object Recognition: Selected Algorithms for a Wide Variety of Applications (Repost)

An Introduction to Object Recognition: Selected Algorithms for a Wide Variety of Applications (Advances in Computer Vision and Pattern Recognition) by Marco Alexander Treiber
English | 2010 | ISBN: 1849962340 | 218 Pages | PDF | 8 MB

Rapid development of computer hardware has enabled usage of automatic object recognition in an increasing number of applications, ranging from industrial image processing to medical applications, as well as tasks triggered by the widespread use of the internet.
An Introduction to Object Recognition: Selected Algorithms for a Wide Variety of Applications

Marco Alexander Treiber, "An Introduction to Object Recognition: Selected Algorithms for a Wide Variety of Applications"
Springer | 2010 | ISBN: 1849962340 | 201 pages | PDF | 4,3 MB
Introduction to Pattern Recognition - Statistical, Structural, Neural & Fuzzy Logic Approaches


World Scientific Publishing Company | ISBN: 9810233124 | 329 pages | 1.9MB | Format:DjVu

This book is on introduction to pattern recognition, meant for undergraduate and graduate students in computer science and related fields in science and technology. Most of the topics are accompanied by detailed algorithms and real world applications. In addition to statistical and structural approaches, novel topics such as
fuzzy pattern recognition anil pattern recognition via neural networks are also reviewed. Each topic is followed by several examples solved in detail. The only pre- prerequisites tor using this book are a one- semester course in discrete mathematics and a knowledge of the basic preliminaries i)f calculus, linear algebra and probability theory.
An Introduction to Object Recognition: Selected Algorithms for a Wide Variety of Applications (repost)

Marco Alexander Treiber, "An Introduction to Object Recognition: Selected Algorithms for a Wide Variety of Applications"
2010 | ISBN: 1849962340 | 201 pages | PDF | 8,1 MB