Author: Watanabe, Sumio Publisher: Cambridge University Press Format: Adobe PDF
Description: Sure to be influential, this book lays the foundations for the use of algebraic geometry in statistical learning theory. Many widely used statistical models and learning machines applied to informatio...
Author: Kim, Daijin / Sung, Jaewon Publisher: IGI Publishing Format: Adobe PDF
Description: Since research on face recognition began in the 1960's, the field has rapidly widened to automated face analysis including face detection, facial gesture recognition, and facial expression recognition...
Author: Japkowicz, Nathalie / Shah, Mohak Publisher: Cambridge University Press Format: Adobe PDF
Description: The field of machine learning has matured to the point where many sophisticated learning approaches can be applied to practical applications. Thus it is of critical importance that researchers have th...
Author: Majaranta, Päivi / Aoki, Hirotaka Publisher: Medical Information Science Reference Format: Adobe PDF
Description: Gaze Interaction and Applications of Eye Tracking: Advances in Assistive Technologies focuses on interactive communication and control tools based on gaze tracking, including eye typing, computer cont...
Author: de la Higuera, Colin Publisher: Cambridge University Press Format: Adobe PDF
Description: The problem of inducing, learning or inferring grammars has been studied for decades, but only in recent years has grammatical inference emerged as an independent field with connections to many scient...
Author: Snyder, Wesley E. / Qi, Hairong Publisher: Cambridge University Press Format: Adobe PDF
Description: This 2004 book is an accessible and comprehensive introduction to machine vision. It provides all the necessary theoretical tools and shows how they are applied in actual image processing and machine ...
Author: Malcolm, Grant Publisher: Elsevier Science Format: Adobe PDF
Description: The value of multi-disciplinary research lies in the exchange of ideas and methods across the traditional boundaries between areas of study. It could be argued that many of the advances in science and...
Author: Hartley, Richard / Zisserman, Andrew Publisher: Cambridge University Press Format: Adobe PDF
Description: A basic problem in computer vision is to understand the structure of a real world scene given several images of it. Techniques for solving this problem are taken from projective geometry and photogram...
Author: Saitta, Lorenza / Giordana, Attilio / CornuÈjols , Antoine Publisher: Cambridge University Press Format: Adobe PDF
Description: Phase transitions typically occur in combinatorial computational problems and have important consequences, especially with the current spread of statistical relational learning as well as sequence lea...
Author: N/A Publisher: Cambridge University Press Format: Adobe PDF
Description: This book presents an integrated collection of representative approaches for scaling up machine learning and data mining methods on parallel and distributed computing platforms. Demand for parallelizi...
Author: N/A Publisher: Cambridge University Press Format: Adobe PDF
Description: 'What's going to happen next?' Time series data hold the answers, and Bayesian methods represent the cutting edge in learning what they have to say. This ambitious book is the first unified treatment ...
Author: Zhao, Wenyi Publisher: Elsevier S&T Format: Adobe PDF
Description: Major strides have been made in face processing in the last ten years due to the fast growing need for security in various locations around the globe. A human eye can discern the details of a specific...
Author: N/A Publisher: Information Science Reference Format: Adobe PDF
Description: Pattern Recognition and Signal Processing in Archaeometry: Mathematical and Computational Solutions for Archaeology offers state of the art research in computational pattern recognition and digital ar...
