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Pattern Recognition and Data Mining

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Inhalt Pattern Recognition and Data Mining.- Enhancing Trie-Based Syntactic Pattern Recognition Using AI Heuristic Search Strategi... Weiterlesen
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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.


Titel: Pattern Recognition and Data Mining
Untertitel: Third International Conference on Advances in Pattern Recognition, ICAR 2005, Bath, UK, August 22-25, 2005, Part I
EAN: 9783540287582
Digitaler Kopierschutz: Wasserzeichen
Format: E-Book (pdf)
Hersteller: Springer Berlin Heidelberg
Genre: Anwendungs-Software
Anzahl Seiten: 694
Veröffentlichung: 16.09.2005
Dateigrösse: 21.0 MB

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