Feature Space

An efficient kernel matrix evaluation measure

Pattern Recognition / Model Selection / Kernel Methods / Classification / Time Complexity / Data Distribution / Electrical And Electronic Engineering / Feature Space / Quality Measures / Data Distribution / Electrical And Electronic Engineering / Feature Space / Quality Measures

An efficient kernel matrix evaluation measure

Pattern Recognition / Model Selection / Kernel Methods / Classification / Time Complexity / Data Distribution / Electrical And Electronic Engineering / Feature Space / Quality Measures / Data Distribution / Electrical And Electronic Engineering / Feature Space / Quality Measures

An efficient kernel matrix evaluation measure

Pattern Recognition / Model Selection / Kernel Methods / Classification / Time Complexity / Data Distribution / Electrical And Electronic Engineering / Feature Space / Quality Measures / Data Distribution / Electrical And Electronic Engineering / Feature Space / Quality Measures

Pattern discovery: a data driven approach to decision support

Engineering / Data Mining / Data Analysis / Pattern Recognition / Statistical Analysis / Modeling / Decision Support Systems / Traditional Knowledge / Probability / Optimization / Decision support system / Measurement / Statistical Significance / Mixed Mode / Decision Support / Clustered Data / Data Processing / Large Scale / Pattern Discovery / Decision Maker / Probability Density Function / Mixture / Classifier / Feature Space / Modeling / Decision Support Systems / Traditional Knowledge / Probability / Optimization / Decision support system / Measurement / Statistical Significance / Mixed Mode / Decision Support / Clustered Data / Data Processing / Large Scale / Pattern Discovery / Decision Maker / Probability Density Function / Mixture / Classifier / Feature Space

Pattern discovery: a data driven approach to decision support

Engineering / Data Mining / Data Analysis / Pattern Recognition / Statistical Analysis / Modeling / Decision Support Systems / Traditional Knowledge / Probability / Optimization / Decision support system / Measurement / Statistical Significance / Mixed Mode / Decision Support / Clustered Data / Data Processing / Large Scale / Pattern Discovery / Decision Maker / Probability Density Function / Mixture / Classifier / Feature Space / Modeling / Decision Support Systems / Traditional Knowledge / Probability / Optimization / Decision support system / Measurement / Statistical Significance / Mixed Mode / Decision Support / Clustered Data / Data Processing / Large Scale / Pattern Discovery / Decision Maker / Probability Density Function / Mixture / Classifier / Feature Space

Robust Kernel Principal Component Analysis

Algorithms / Principal Component Analysis / Multidisciplinary / Linear models / Humans / Missing Data / Feature Extraction / Kernel principal component analysis (KPCA) / Reproducibility of Results / Neural Computation / Cost Function / Feature Space / Kernel Function / Missing Data / Feature Extraction / Kernel principal component analysis (KPCA) / Reproducibility of Results / Neural Computation / Cost Function / Feature Space / Kernel Function

A compression approach to support vector model selection

Machine Learning / Data Compression / Support Vector Machines / Statistical Learning Theory / Model Selection / Support vector machine / Minimum description length / Feature Space / Generalization Bounds / Support vector machine / Minimum description length / Feature Space / Generalization Bounds

Local polynomial approximation-local binary pattern (LPA-LBP) based face classification

Face Recognition / Information Extraction / Support vector machine / Local Binary Pattern / Classification Accuracy / Feature Space

Extracting Social Dimensions Using Fiedler Embedding

Collective Behavior / Causal reasoning / Feature Extraction / relational Learning / Feature Space

An experimental comparison of kernel clustering methods

Machine Learning / Fuzzy Clustering / Clustering Method / K Means / Feature Space / Performance Index / Normalized mutual information / Performance Index / Normalized mutual information

A regularized kernel CCA contrast function for ICA

Algorithms / Artificial Intelligence / Principal Component Analysis / Independent Component Analysis / Neural Networks / Multidisciplinary / Computer Simulation / Model Selection / Eigenvalues / High Dimensionality / Feature Space / Multidisciplinary / Computer Simulation / Model Selection / Eigenvalues / High Dimensionality / Feature Space

Kernel principal component ranking: Robust ranking on noisy data

Principal Component Analysis / Choice and preference (Learning) / Learning to Rank / Feature Space

Speech-Driven Automatic Facial Expression Synthesis

Facial expression / Emotion Recognition / hidden Markov model / Gaussian Mixture Model / Second Order / classifier Fusion / Automatic code generation / Gaussian Mixture / Probability Density Function / Feature Space / classifier Fusion / Automatic code generation / Gaussian Mixture / Probability Density Function / Feature Space

Comparison of Artificial Neural Network and Rough Set based Classifiers Applied to a Hybrid Pattern Recognition System

Image Processing / Hybrid Systems / Pattern Recognition / Rough Sets / Neural Networks / Knowledge Representation / Neural Network / Feature Extraction / Rough Set / Rough set theory / Artificial Neural Network / Feature Space / Hybrid System / Knowledge Representation / Neural Network / Feature Extraction / Rough Set / Rough set theory / Artificial Neural Network / Feature Space / Hybrid System

Comparison of artificial neural network and rough set based classifiers applied to a hybrid pattern recognition system

Image Processing / Hybrid Systems / Pattern Recognition / Rough Sets / Neural Networks / Knowledge Representation / Neural Network / Feature Extraction / Rough Set / Rough set theory / Artificial Neural Network / Feature Space / Hybrid System / Knowledge Representation / Neural Network / Feature Extraction / Rough Set / Rough set theory / Artificial Neural Network / Feature Space / Hybrid System

Unsupervised statistical clustering of environmental shotgun sequences

Algorithms / Genomics / Algorithm Analysis / Open Source / Biological Sciences / Mathematical Sciences / Markov Chain Monte Carlo / Maximum Likelihood / Supervised Learning / Cluster Analysis / BMC Bioinformatics / Genome / High performance / Statistical Model / Feature Space / Low Complexity / Mathematical Sciences / Markov Chain Monte Carlo / Maximum Likelihood / Supervised Learning / Cluster Analysis / BMC Bioinformatics / Genome / High performance / Statistical Model / Feature Space / Low Complexity

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