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Linux Kernel Development

Linux Kernel Development details the design and implementation of the Linux kernel, presenting the content in a manner that is beneficial;

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Nonlinear Numerical Analysis in Reproducing Kernel Space

Although the application of reproducing kernel has been explored in different fields in the past twenty to thirty years and the relevant;

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Kernel Learning Algorithms for Face Recognition

Kernel Learning Algorithms for Face Recognition covers the framework of kernel based face recognition. This book discusses the advanced;

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Data-Variant Kernel Analysis

Describes and discusses the variants of kernel analysis methods for data types that have been intensely studied in recent years This book;

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Linux Kernel Programming Part 2 - Char Device Drivers and Kernel Synchronization

- Char Device Drivers and Kernel Synchronization is an ideal companion guide to the Linux Kernel Programming book. This book provides a;

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Kernel Mean Embedding of Distributions

and statistical inference. The basic idea behind this framework is to map distributions into a reproducing kernel Hilbert space (RKHS;

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Kernel Smoothing

averaging or smoothing is performed with respect to a kernel function. This book provides uninitiated readers with a feeling for the principles;

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Kernel Methods for Remote Sensing Data Analysis

Kernel methods have long been established as effective techniques in the framework of machine learning and pattern recognition, and have;

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Linux Device Driver Development Cookbook

internals Book DescriptionLinux is a unified kernel that is widely used to develop embedded systems. As Linux has turned out to be one of the most;

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Linux Kernel Programming

Brand-new edition of the comprehensive Linux kernel reference - 40% of material revised. Now updated throughout to cover Linux 2.4.;

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FreeDOS Kernel

Master operation system development. FreeDOS Kernel explains the construction and operation of Pat Villani's DOS-C - a highly portable;

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Digital Signal Processing with Kernel Methods

communications, multimedia, and biomedical engineering systems Digital Signal Processing with Kernel Methods reviews the milestones in the mixing;

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Kernel Adaptive Filtering

The first book to explain real-time learning algorithms in reproducing kernel Hilbert spaces, On-Line Kernel Learning includes simulations;

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Facial Expression Recognition

dimensionality of mean features from Gabor filters is further reduced by using a kernel PCA technique with polynomial kernels. The kernel PCA technique;

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Kernel of the Kernel

An English translation of a seminal book on Sufism from a Shi'i perspective by an eminent Muslim thi;...

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Kernel Mode Decomposition and the Programming of Kernels

near-machine precision in the recovery of the modes. The presentation includes a review of generalized additive models, additive kernels;

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A Guide to Kernel Exploitation

A Guide to Kernel Exploitation: Attacking the Core discusses the theoretical techniques and approaches needed to develop reliable and;

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Kernels For Structured Data

This book provides a unique treatment of an important area of machine learning and answers the question of how kernel methods can be;

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The kernel and the husk

''The Kernel and the Husk'' from Edwin Abbott Abbott. English schoolmaster and theologian, is best known as the author of the mathematical;

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Asymmetric Kernel Smoothing

kernel functions. Further, it discusses the statistical properties of estimators and test statistics using asymmetric kernels. The topics;

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Understanding the Linux Kernel

the heart of the kernel. The kernel handles all interactions between the CPU and the external world, and determines which programs will share;

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Understanding the Linux Kernel 2e

the heart of the kernel. The kernel handles all interactions between the CPU and the external world, and determines which programs will share;

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Understanding The Linux Kernel 3rd

the heart of the kernel. The kernel handles all interactions between the CPU and the external world, and determines which programs will share;

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Kernel Smoothing

, Kernel Smoothing: Principles, Methods and Applications offers a user-friendly presentation of the mathematical content so that the reader can;

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Kernel Methods for Pattern Analysis

students and researchers to the growing field of kernel-based pattern analysis, demonstrating with examples how to handcraft an algorithm or a;

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Generalized Mercer Kernels and Reproducing Kernel Banach Spaces

This article studies constructions of reproducing kernel Banach spaces (RKBSs) which may be viewed as a generalization of reproducing;

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The Mehler Kernel

propagator of such models one needs roughly speaking the inverse of the operator p2]x2. This is the Mehler kernel, which will be discussed in this;

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