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Title : Computer Vision and Applications - A Guide for Students and Practitioners
Pub Date : 2000
Author : Bernd Jähne and Horst Haußecker (Editors)
Publisher: Academic Press
ISBN : 0–12–379777-2

Overview :

This book offers a fresh approach to computer vision. The whole vision process from image formation to measuring, recognition, or reacting is regarded as an integral process. Computer vision is understood as the host of techniques to acquire, process, analyze, and understand complex higher-dimensional data from our environment for scientific and technical exploration.

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Title : Computer Vision A Modern Approach
Pub Date : -
Author : Forsyth & Ponce
Publisher: -
ISBN : -

Overview :

Part I - Image Formations
Part II - Image Models
Part III - Early Vision: One Image
Part IV - Early Vision: Multiple views
Part V - Mid-Level Vision
Part VI - High-Level Vision
Part VII - Applications and Topics

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Title : Computer Vision
Pub Date : March, 2000
Author : Linda Shapiro and George Stockman
Publisher: -
ISBN : -

Overview :

This book is intended as an introduction to computer vision for a broad audience. It provides necessary theory and examples for students and practicioners who will work in fields where significant information must be extracted automatically from images. The book should be a useful resource book for professionals, a text for both undergraduate and beginning graduate courses, and a resource for enrichment of college or even high school projects. Our goals were to provide a basic set of fundamental concepts and algorithms and also discuss some of the exciting evolving application areas. This book is unique in that it contains chapters on image databases and on virutal and augmented reality, two exciting evolving application areas. A final chapter gives a complete view of real world systems that use computer vision.

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Title : Computer Vision 2nd Ed
Pub Date : 1982
Author : Dana H. Ballard and Christopher M. Brown
Publisher: Prentice Hall
ISBN : 0-13-165316-4

Overview :

What information about scenes can be extracted from an image using only basic assumptions about physics and optics?

How are images segmented into meaningful parts?

At what stage must domain-dependent, prior knowledge about the world be incorporated into the understanding process?

How are world models and conceptual knowledge represented and used?

These and many other questions, inherent in this relatively new and fast-growing field, are explored and answered in Computer Vision. The authors assemble crucial material from many diciplines including artificial intelligence, psychology, computer graphics, and image processing to form a practical text and reference for anyone involved in builing vision systems.

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Title : Learning Bayesian Networks
Pub Date : -
Author : Richard E. Neapolitan
Publisher: Northeastern Illinois University
ISBN : -

Overview :

Bayesian networks are graphical structures for representing the probabilistic relationships among a large number of variables and doing probabilistic inference with those variables. During the 1980’s, a good deal of related research was done
on developing Bayesian networks (belief networks, causal networks, influence diagrams), algorithms for performing inference with them, and applications that used them. However, the work was scattered throughout research articles. My
purpose in writing the 1990 text Probabilistic Reasoning in Expert Systems was to unify this research and establish a textbook and reference for the field which has come to be known as ‘Bayesian networks.’ The 1990’s saw the emergence
of excellent algorithms for learning Bayesian networks from data. However,by 2000 there still seemed to be no accessible source for ‘learning Bayesian networks.’ Similar to my purpose a decade ago, the goal of this text is to provide such a source.

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Title : Dynamic Bayesian Networks: Representation, Inference and Learning
Pub Date : 2002
Author : Kevin Patrick Murphy
Publisher: UNIVERSITY OF CALIFORNIA, BERKELEY
ISBN : -

Overview :

Abstract:
Modelling sequential data is important in many areas of science and engineering. Hidden Markov models (HMMs) and Kalman filter models (KFMs) are popular for this because they are simple and flexible. For example, HMMs have been used for speech recognition and bio-sequence analysis, and KFMs have been used for problems ranging from tracking planes and missiles to predicting the economy. However, HMMs and KFMs are limited in their “expressive power”. Dynamic Bayesian Networks (DBNs) generalize HMMs by allowing the state space to be represented in factored form, instead of as a single discrete random variable. DBNs generalize KFMs by allowing arbitrary probability distributions, not just (unimodal) linear-Gaussian. In this thesis, I will discuss how to represent many different kinds of models as DBNs, how to perform exact and approximate inference in DBNs, and how to learn DBN models from sequential data.

In particular, the main novel technical contributions of this thesis are as follows: a way of representing Hierarchical HMMs as DBNs, which enables inference to be done in O(T) time instead of O(T 3), where T is the length of the sequence; an exact smoothing algorithm that takes O(log T) space instead of O(T); a simple way of using the junction tree algorithm for online inference in DBNs; new complexity bounds on exact online inference in DBNs; a new deterministic approximate inference algorithm called factored frontier; an analysis of the relationship between the BK algorithm and loopy belief propagation; a way of
applying Rao-Blackwellised particle filtering to DBNs in general, and the SLAM (simultaneous localization and mapping) problem in particular; a way of extending the structural EM algorithm to DBNs; and a variety of different applications of DBNs. However, perhaps the main value of the thesis is its catholic presentation of the field of sequential data modelling.

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Title : Linux Annoyances for Geeks
Pub Date : April 2006
Author : Michael Jang
Publisher: O’Reilly
ISBN-10 : 0-596-00801-5
ISBN-13 : 978-0-59-600801-7

Overview :

GNU/Linux is an immensely popular operating system that is both extremely stable and reliable. But it can also induce minor headaches at the most inopportune times, if you’re not fully up to speed with its capabilities.

A unique approach to running and administering Linux systems, Linux Annoyances for Geeks addresses the many poorly documented and under-appreciated topics that make the difference between a system you struggle with and a system you really enjoy. This book is for power users and system administrators who want to clear away barriers to using Linux for themselves and for less-trained users in their organizations.

This book meticulously tells you how to get a stubborn wireless card to work under Linux, and reveals little-known sources for wireless driversand information. It tells you how to add extra security to your systems, such as boot passwords, and how to use tools such as rescue disks to overcome overly zealous security measures in a pinch. In every area of desktop and server use, the book is chock full of advice based on hard-earned experience.

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Title : Linux for Programmers and Users
Pub Date : February 15, 2006
Author : Graham Glass, King Ables
Publisher: Prentice Hall
ISBN-10 : 0-13-185748-7
ISBN-13 : 978-0-13-185748-3
Overview :

Offering full coverage of Linux in one source, this book documents the most commonly needed topics for new and experienced Linux users and programmers.

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Title : Linux Bible 2006 Edition: Boot Up to Fedora™, KNOPPIX, Debian®, SUSE™, Ubuntu™, and 7 Other Distributions
Pub Date : 2006
Author : Christopher Negus
Publisher: Wiley Publishing, Inc.
ISBN-13 : 978-0-471-75489-3
ISBN-10 : 0-471-75489-7
Overview :

Unlike other books on Linux, this book doesn’t tie you to one Linux distribution. The book teaches you the essentials of Linux graphical interfaces, shell commands, and basic system administration. Separate chapters break down most of the major Linux distributions available today. Then descriptions of the major software projects in most Linux distributions (KDE and GNOME desktops, Apache Web servers, Samba file and printer sharing, and so on) guide you in setting up and using those features, regardless of which Linux you choose.

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Title : Linux® Toys II: 9 Cool New Projects for Home, Office, and Entertainment
Pub Date : 2006
Author : Christopher Negus
Publisher: Wiley Publishing, Inc.
ISBN-13 : 978-0-7645-7995-0
ISBN-10 : 0-7645-7995-9
Overview :

In Linux Toys II, I give you the software, the shopping list, and the steps to put together interesting projects using open source software and PC hardware. Some projects will run even on a 486 machine with 32MB of memory (for example, a client in the Linux Terminal Server project), while others encourage you to build a completely tricked-out entertainment system–style PC (for example, the MythTV project).

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