Gaussian processes (GPs) provide a principled, practical, probabilistic approach to learning in kernel machines. GPs have received increased attention in the machine-learning community over the past decade, and this book provides a long-needed syste
The ability to adapt to different computing environments or external changes is an important requirement for both stationary and mobile computing. Without this ability, all requirements have to be foreseen, which is often not possible in practice. Cl
A class of nonparametric smoothing kernel methods for image processing and filtering that possess edge-preserving pro- perties is examined. The proposed approach is a nonlinearly modified version of the classical nonparametric regression estimates uti
Introduction to Information Retrieval Introduction to Information Retrieval is the first textbook with a coherent treat- ment of classical and web information retrieval, including web search and the related areas of text classification and text clus
This book is a thorough introduction to the most important topics in data mining and machine learning. It begins with a detailed review of classical function estimation and proceeds with chapters on nonlinear regression, classification, and ensemble
This book was written to be a readable introduction to algebraic topology with rather broad coverage of the subject. The viewpoint is quite classical in spirit, and stays well within the confines of pure algebraic topology. In a sense, the book coul
Mathematical Problems in Image Processing ——Partial Differential Equations and the Calculus of Variations Second Edition by Gilles Aubert and Pierre Kornprobst Partial differential equations (PDEs) and variational methods were introduced into image
Abstract—This paper introduces a multilinear principal com- ponent analysis (MPCA) framework for tensor object feature extraction. Objects of interest in many computer vision and pattern recognition applications, such as 2-D/3-D images and video seq
In this text, grid generation and the use thereof in numerical solutions of partial equations are both discussed. The intent was to provide the necessary basic information, from both the standpoint of mathematical background and from that of coding
The goal of this book is to provide a concise but lucid explanation and derivation of the fundamentals of spread-spectrum communication systems. Although spread-spectrum communication is a staple topic in textbooks on digital communication, its trea
The goal of this book is to provide a concise but lucid explanation and derivation of the fundamentals of spread-spectrum communication systems. Although spread-spectrum communication is a staple topic in textbooks on digital communication, its trea
The goal of this book is to provide a concise but lucid explanation and derivation of the fundamentals of spread-spectrum communication systems. Although spread-spectrum communication is a staple topic in textbooks on digital communication, its trea
As a novel evolutionary technique, particle swarm optimization (PSO) has received increasing attention and wide applications in a variety of fields. To our knowledge this paper investigates the first application of PSO algorithm to tackle the parall
