Pattern Recognition and Data Mining

Inhaltsverzeichnis

• 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 forDiscontinuous 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.