Computer Vision. Detection, Recognition and Reconstruction

Издательство MIT Press, 2010, -581 pp. Machine learning is programming computers to optimize a performance criterion using example data or past experience. We need learning in cases where we cannot directly write a computer program to solve a given problem, but need example data or experience. One case where learning is necessary is when human expertise does not exist, or when humans are unable to explain their expertise. Consider the recognitio...

2001, 738 pages. The ease with which we recognize a face, understand spoken words, read handwritten characters, identify our car keys in our pocket by feel, and decide whether an apple is ripe by its smell belies the astoundingly complex processes that underlie these acts of pattern recognition. Pattern recognition — the act of taking in raw data and taking an action based on the "category" of the pattern — has been crucial for our survival, and...

Издательство Springer, 2008, -256 pp. The objective of Document Analysis and Recognition (DAR) is to recognize the text and graphical components of a document and to extract information. With first papers dating back to the 1960’s, DAR is a mature but still growing research field with consolidated and known techniques. Optical Character Recognition (OCR) engines are some of the most widely recognized products of the research in this field, while...

Издательство W. H. Freeman and Company, 1982, -415 pp. What does it mean, to see? The plain man's answer (and Aristotle's, too) would be, to know what is where by looking. In other words, vision is the process of discovering from images what is present in the world, and where it is. Vision is therefore, first and foremost, an information-processing task, but we cannot think of it just as a process. For if we are capable of knowing what is where...

Published by InTech. Janeza Trdine 9, 51000 Rijeka, Croatia. 2010. ISBN 978-953-307-074-2, Hard cover, 430 p. Первоисточник: . Contents: An adaptive fuzzy neural network based on self-organizing map (som) Learning the number of clusters in self organizing map Improvements quality of Kohonen maps using dimension reduction methods Partsom: a framework for distributed data clustering using SOM and K-MEANS Kohonen maps combined to k-means in a two...

Издательство InTech, 2009, -430 pp. Machine Learning is often referred to as a branch of artificial intelligence which deals with the design and the development of algorithms and techniques that help machines to learn. Hence, it is closely related to various scientific domains as Optimization, Vision, Robotic and Control, Theoretical Computer Science, etc. Based on this, Machine Learning can be defined in various ways related to a scientific do...

This book covers the field of machine learning, which is the study of algorithms that allow computer programs to automatically improve through experience. The book is intended to support upper level undergraduate and introductory level graduate courses in machine learning. 1997, р. 414. The field of machine learning is concerned with the question of how to construct computer programs that automatically improve with experience. In recent years m...

Издательство InTech, 2008, -292 pp. There is no doubt that Brain, Vision and Artificial Intelligence are among the new frontiers of science and research; in addition these topics are particularly interesting both for the young scientists and for the less young ones. Moreover, this field of research is very multidisciplinary: the scientists that carry on researches on these topics belong to wide number of different academic education since differ...

Издательство InTech, 2010, -446 pp. The goal of this book is to present the key algorithms, theory and applications that from the core of machine learning. Learning is a fundamental activity. It is the process of constructing a model from complex world. And it is also the prerequisite for the performance of any new activity and, later, for the improvement in this performance. Machine learning is concerned with constructing computer programs tha...

Издательство InTech, 2010, -374 pp. The purpose of this book is to provide an up-to-data and systematical introduction to the principles and algorithms of machine learning. The definition of learning is broad enough to include most tasks that we commonly call Learning tasks, as we use the word in daily life. It is also broad enough to encompass computer that improve from experience in quite straight forward ways. Machine learning addresses the...