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人工神经网络 - ICANN 2006 /会议录 第II部分/Artificial neural networks

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作者: Stefanos Kollias 等著

出 版 社: 湖北辞书出版社

出版时间: 2006-12-1字数:版次: 1页数: 1028印刷时间: 2006/12/01开本:印次:纸张: 胶版纸I S B N : 9783540388715包装: 平装编辑推荐

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.).

内容简介

This book constitutes the refereed proceedings of the 10th East European Conference on Advances in Databases and Information Systems, ADBIS 2006, held in Thessaloniki, Greece, in September 2006.

The 29 high-quality papers were selected in a rigorous reviewing process out of 126 submissions. The papers address a wide range of hot research issues and are organized in topical sections on: XML databases and semantic web, materialized views, database modelling, web information systems and middleware, query processing and indexing, data mining and clustering, and modelling and design issues.

目录

Neural Networks, Semantic Web Technologies and Multimedia Analysis (Special Session)

Tile Core Method: Connectionist Model Generation

A Neural Scheme for Robust Detection of Transparent Logos in TV Programs

A Neural Network to Retrieve Images froil/Text Queries

Techniques for Still Image Scene Classification and Object Detection

Adaptation of Weighted Fuzzy Programs

Classified Ranking of Semantic Self-organizing Neural Networks

Classifier Fusion: Combination Methods For Semantic Indexing in Video Content

Bridging the Semantic Gap in Multimedia Machine Learning Approaches (Special Session)

Retrieval of Multimedia Objects by Combining Seinantic Information

from Visual and Textual Descriptors

A Relevance Feedback Approach Using Gaussian Mixture Models

Apostolos Marakakis, Nikolaos Galatsanos, Aristidis Likas,

Video Representation and Retrieval Using Spatio-temporal Descriptors and Region Relations

Bridging the Syntactic and the Semantic Web Search

Content-Based Coin Retrieval Using Invariant Features and Self-organizing Maps

Signal and Time Series Processing (I)

Learning Time-Series Similarity with a Neural Network by Combining

Similarity Measures

Prediction Improvement Network Mixing

Missing Value Estimation for DNA Microarrays with Mutliresolution

Schemes

Applying REC Analysis to Ensembles of Sigma-Point Kalman Filters

Analysis of Fast Input Selection: Application in Time Series

Prediction

A Linguistic Approach to a Human-Consistent Summarization of Time

Signal and Time Series Processing (II)

Long-Term Prediction of Time Series Using State-Space Models

Time Series Prediction Using Fuzzy V~'avelet Neural Network Model

……

Anthor Index

 
 
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