模式识别及支持向量机 Pattern recognition with support vector machines 下载 pdf 百度网盘 epub 免费 2025 电子版 mobi 在线

This book constitutes the refereed proceedings of the First International Workshop on Pattern Recognition with Support Vector Machines, SVM 2002, held in Niagara Falls, Canada in August 2002.The 16 revised full papers and 14 poster papers presented together with two invited contributions were carefully reviewed and selected from 57 full paper submissions. The papers presented span the whole range of topics in pattern recognition with support vector machines from computational theories to implementations and applications.

Invited Papers

Predicting Signal Peptides with Support Vector Machines

Scaling Large Learning Problems with Hard Parallel Mixtures

Computational Issues

On the Generalization of Kernel Machines

Kernel Whitening for One-Class Classification

A Fast SVM Training Algorithm

Support Vector Machines with Embedded Reject Option

Object Recognition

Image Kernels

Combining Color and Shape Information for Appearance-Based Object Recognition Using Ultrametric Spin Glass-Markov Random Fields

Maintenance Training of Electric Power Facilities Using Object Recognition by SVM

Kerneltron: Support Vector 'Machine' in Silicon

Pattern Recognition

Advances in Component-Based Face Detection

Support Vector Learning for Gender Classification Using Audio and Visual Cues: A Comparison

Analysis of Nonstationary Time Series Using Support Vector Machines

Recognition of Consonant-Vowel (CV) Units of Speech in a Broadcast News Corpus Using Support Vector Machines

Applications

Anomaly Detection Enhanced Classification in Computer Intrusion Detection

Sparse Correlation Kernel Analysis and Evolutionary Algorithm-Based Modeling of the Sensory Activity

Applications of Support Vector Machines for Pattern Recognition:A Survey

Typhoon Analysis and Data Mining with Kernel Methods

Poster Papers

Support Vector Features and the Role of Dimensionality in Face Authentication

Face Detection Based on Cost-Sensitive Support Vector Machines

Real-Time Pedestrian Detection Using Support Vector Machines

Forward Decoding Kernel Machines:A Hybrid HMM/SVM Approach to Sequence Recognition

……

Author Index

暂无相关内容，正在全力查找中

暂无出版社相关信息，正在全力查找中！

暂无相关书籍摘录，正在全力查找中！

在线阅读地址：模式识别及支持向量机 Pattern recognition with support vector machines在线阅读

在线听书地址：模式识别及支持向量机 Pattern recognition with support vector machines在线收听

在线购买地址：模式识别及支持向量机 Pattern recognition with support vector machines在线购买

暂无原文赏析，正在全力查找中！

编辑推荐

The LNCS series reports state-of-the-art results in computer science research,development,and education,at a high level and in both printed and electronic form.Enjoying tight cooperation with the R&D community,with numerous individuals,as well as with prestigious organizations and societies,LNCS has grown into the most comprehensive computer science resarch forum available.

The scope of LNCS,including its subseries LNAI,spans the whole range of computer science and information technology including interdisciplinary topics in a variety of application fields.The type of material publised traditionally includes.

-proceedings(published in time for the respective conference)

-post-proceedings(consisting of thoroughly revised final full papers)

-research monographs(which may be basde on outstanding PhD work,research projects,technical reports,etc.)

书籍介绍

This book constitutes the refereed proceedings of the First International Workshop on Pattern Recognition with Support Vector Machines, SVM 2002, held in Niagara Falls, Canada in August 2002.The 16 revised full papers and 14 poster papers presented together with two invited contributions were carefully reviewed and selected from 57 full paper submissions. The papers presented span the whole range of topics in pattern recognition with support vector machines from computational theories to implementations and applications.