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

Λεπτομέρειες βιβλιογραφικής εγγραφής
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Άλλοι συγγραφείς: Singh, Sameer (Επιμελητής έκδοσης), Singh, Maneesha (Επιμελητής έκδοσης), Apte, Chid (Επιμελητής έκδοσης), Perner, Petra (Επιμελητής έκδοσης)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg, 2005.
Σειρά:Lecture Notes in Computer Science, 3686
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
Πίνακας περιεχομένων:
  • 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.