Machine Learning and Data Mining in Pattern Recognition : Second International Workshop, MLDM 2001, Leipzig, Germany, July 25-27, 2001. Proceedings / edited by Petra Perner.

Format:

Book

Contributor:

Perner, Petra, editor.

SpringerLink (Online service)

Series:

Computer Science (Springer-11645)

Lecture notes in computer science. Lecture notes in artificial intelligence ; 2123.

Lecture Notes in Artificial Intelligence ; 2123

Language:

English

Subjects (All):

Pattern perception.

Optical data processing.

Artificial intelligence.

Logic, Symbolic and mathematical.

Information storage and retrieval.

Pattern Recognition.

Image Processing and Computer Vision.

Artificial Intelligence.

Mathematical Logic and Formal Languages.

Information Storage and Retrieval.

Local Subjects:

Pattern Recognition.

Image Processing and Computer Vision.

Artificial Intelligence.

Mathematical Logic and Formal Languages.

Information Storage and Retrieval.

Physical Description:

1 online resource (363 pages).

Edition:

First edition 2001.

Contained In:

Springer eBooks

Place of Publication:

Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2001.

System Details:

text file PDF

Summary:

This book constitutes the refereed proceedings of the Second International Workshop on Machine Learning and Data Mining in Pattern Recognition, MLDM 2001, held in Leipzig, Germany in July 2001. The 26 revised full papers presented together with two invited papers were carefully reviewed and selected for inclusion in the proceedings. The papers are organized in topical sections on case-based reasoning and associative memory; rule induction and grammars; clustering and conceptual clustering; data mining on signals, images, and spatio-temporal data; nonlinear function learning and neural net based learning; learning for handwriting recognition; statistical and evolutionary learning; and content-based image retrieval.

Contents:

Invited Paper

Technology of Text Mining

Evaluation of Clinical Relevance of Clinical Laboratory Investigations by Data Mining

Case-Based Reasoning and Associative Memory

Temporal Abstractions and Case-Based Reasoning for Medical Course Data: Two Prognostic Applications

Are Case-Based Reasoning and Dissimilarity-Based Classification Two Sides of the Same Coin?

FAM-Based Fuzzy Inference for Detecting Shot Transitions

Rule Induction and Grammars

Rule-Based Ensemble Solutions for Regression

Learning XML Grammars

First-Order Rule Induction for the Recognition of Morphological Patterns in Topographic Maps

Clustering and Conceptual Clustering

Concepts Learning with Fuzzy Clustering and Relevance Feedback

LC: A Conceptual Clustering Algorithm

Data Mining on Signal, Images, Text and Temporal-Spatial Data

Data Mining Approach Based on Information-Statistical Analysis: Application to Temporal-Spatial Data

A Hybrid Tool for Data Mining in Picture Archiving System

Feature Selection for a Real-World Learning Task

Automatic Identification of Diatoms Using Decision Forests

Validation of Text Clustering Based on Document Contents

Nonlinear Function Learning and Neural Net Based Learning

Statistical and Neural Approaches for Estimating Parameters of a Speckle Model Based on the Nakagami Distribution

How to Automate Neural Net Based Learning

Nonlinear Function Learning and Classification Using Optimal Radial Basis Function Networks

Learning for Handwriting Recognition

Local Learning Framework for Recognition of Lowercase Handwritten Characters

Mirror Image Learning for Handwritten Numeral Recognition

Statistical and Evolutionary Learning

Face Detection by Aggregated Bayesian Network Classifiers

Towards Self-Exploring Discriminating Features

PCA-Based Model Selection and Fitting for Linear Manifolds

Statistics of Flow Vectors and Its Application to the Voting Method for the Detection of Flow Fields

On the Use of Pairwise Comparison of Hypotheses in Evolutionary Learning Applied to Learning from Visual Examples

Featureless Pattern Recognition in an Imaginary Hilbert Space and Its Application to Protein Fold Classification

Content-Based Image Retrieval

Adaptive Query Shifting for Content-Based Image Retrieval

Content-Based Similarity Assessment in Multi-segmented Medical Image Data Bases.

Other Format:

Printed edition:

ISBN:

978-3-540-44596-8

9783540445968

Access Restriction:

Restricted for use by site license.