Pattern Recognition and Data Mining Third International Conference on Advances in Pattern Recognition, ICAPR 2005, Bath, UK, August 22-25, 2005, Proceedings, Part I /

• Corporate Author: SpringerLink (Online service)
• Other Authors: Singh, Sameer (Editor), Singh, Maneesha (Editor), Apte, Chid (Editor), Perner, Petra (Editor)
• Format: Electronic eBook
• Language: English
• Published: Berlin, Heidelberg : Springer Berlin Heidelberg, 2005.
• Series: Lecture Notes in Computer Science, 3686
• Subjects: Computer science.; Database management.; Data mining.; Information storage and retrieval.; Image processing.; Pattern recognition.; Computer Science.; Pattern Recognition.; Data Mining and Knowledge Discovery.; Image Processing and Computer Vision.; Information Storage and Retrieval.; Information Systems Applications (incl. Internet).; Database Management.

 Pattern Recognition and Data Mining -- Enhancing Trie-Based Syntactic Pattern Recognition Using AI Heuristic Search Strategies -- Mathematical Features for Recognizing Preference in Sub-saharan African Traditional Rhythm Timelines -- Empirical Bounds on Error Differences When Using Naive Bayes -- Effective Probability Forecasting for Time Series Data Using Standard Machine Learning Techniques -- A Continuous Weighted Low-Rank Approximation for Collaborative Filtering Problems -- GP Ensemble for Distributed Intrusion Detection Systems -- Clustered Trie Structures for Approximate Search in Hierarchical Objects Collections -- On Adaptive Confidences for Critic-Driven Classifier Combining -- The RW2 Algorithm for Exact Graph Matching -- Making Use of Unelaborated Advice to Improve Reinforcement Learning: A Mobile Robotics Approach -- Consolidated Trees: Classifiers with Stable Explanation. A Model to Achieve the Desired Stability in Explanation -- Discovering Predictive Variables When Evolving Cognitive Models -- Mathematical Morphology and Binary Geodesy for Robot Navigation Planning -- Neural Network Classification: Maximizing Zero-Error Density -- Taxonomy of Classifiers Based on Dissimilarity Features -- Combination of Boosted Classifiers Using Bounded Weights -- Prediction of Commodity Prices in Rapidly Changing Environments -- Develop Multi-hierarchy Classification Model: Rough Set Based Feature Decomposition Method -- On Fitting Finite Dirichlet Mixture Using ECM and MML -- Disease Classification from Capillary Electrophoresis: Mass Spectrometry -- Analyzing Large Image Databases with the Evolving Tree -- A Sequence Labeling Method Using Syntactical and Textual Patterns for Record Linkage -- Recognition Tasks Are Imitation Games -- Use of Input Deformations with Brownian Motion Filters for Discontinuous Regression -- Hierarchical Clustering of Dynamical Systems Based on Eigenvalue Constraints -- An Optimally Weighted Fuzzy k-NN Algorithm -- A Tabu Search Based Method for Minimum Sum of Squares Clustering -- Approximation of Digital Circles by Regular Polygons -- A Novel Feature Fusion Method Based on Partial Least Squares Regression -- Combining Text and Link Analysis for Focused Crawling -- A Weighting Initialization Strategy for Weighted Support Vector Machines -- Configuration of Neural Networks for the Analysis of Seasonal Time Series -- Boosting Feature Selection -- Similarity Searching in Image Retrieval with Statistical Distance Measures and Supervised Learning -- Using Patterns to Generate Prime Numbers -- Empirical Study on Weighted Voting Multiple Classifiers -- Spectral Clustering for Time Series -- A New EM Algorithm for Resource Allocation Network -- A Biased Support Vector Machine Approach to Web Filtering -- A New Approach to Generate Frequent Patterns from Enterprise Databases -- Consolidated Tree Classifier Learning in a Car Insurance Fraud Detection Domain with Class Imbalance -- Missing Data Estimation Using Polynomial Kernels -- Predictive Model for Protein Function Using Modular Neural Approach -- Using kNN Model for Automatic Feature Selection -- Multi-view EM Algorithm for Finite Mixture Models -- Segmentation Evaluation Using a Support Vector Machine -- Detection of Spots in 2-D Electrophoresis Gels by Symmetry Features -- Analysis of MHC-Peptide Binding Using Amino Acid Property-Based Decision Rules -- Accuracy of String Kernels for Protein Sequence Classification -- An Efficient Feature Selection Method for Object Detection -- Multi-SOMs: A New Approach to Self Organised Classification -- Selection of Classifiers Using Information-Theoretic Criteria -- ICA and GA Feature Extraction and Selection for Cloud Classification -- Signal Processing -- A Study on Robustness of Large Vocabulary Mandarin Chinese Continuous Speech Recognition System Based on Wavelet Analysis -- Recognition of Insect Emissions Applying the Discrete Wavelet Transform -- On the Performance of Hurst-Vectors for Speaker Identification Systems -- Transformations of LPC and LSF Parameters to Speech Recognition Features -- Redshift Determination for Quasar Based on Similarity Measure -- Learning with Segment Boundaries for Hierarchical HMMs -- A Bayesian Method for High-Frequency Restoration of Low Sample-Rate Speech -- Probabilistic Tangent Subspace Method for Multiuser Detection -- OCR/Document Analysis -- Feature Extraction for Handwritten Chinese Character by Weighted Dynamic Mesh Based on Nonlinear Normalization -- Post Processing of Handwritten Phonetic Pitman’s Shorthand Using a Bayesian Network Built on Geometric Attributes -- Ancient Printed Documents Indexation: A New Approach -- Applying Software Analysis Technology to Lightweight Semantic Markup of Document Text -- Noisy Digit Classification with Multiple Specialist -- Automatic Table Detection in Document Images -- High Performance Classifiers Combination for Handwritten Digit Recognition -- A Novel Approach for Text Detection in Images Using Structural Features -- Optical Flow-Based Segmentation of Containers for Automatic Code Recognition -- Hybrid OCR Combination for Ancient Documents -- New Holistic Handwritten Word Recognition and Its Application to French Legal Amount -- Handwriting Documents Denoising and Indexing Using Hermite Transform -- Evaluation of Commercial OCR: A New Goal Directed Methodology for Video Documents.