Dimensionality Reduction, Classification and Reconstruction Problems in Statistical Learning Approaches.
Gilson A. GiraldiPaulo Sergio RodriguesEdson C. KitaniCarlos E. ThomazPublished in: RITA (2008)
Keyphrases
- statistical learning
- dimensionality reduction
- high dimensionality
- statistical machine learning
- supervised learning
- model selection
- statistical inference
- dimensionality reduction methods
- information theory
- supervised and unsupervised learning
- pattern recognition
- manifold learning
- principal component analysis
- classification accuracy
- diffusion maps
- feature extraction
- machine learning
- support vector
- high dimensional data
- decision trees
- feature selection
- feature space
- multi view face detection
- compressive sensing
- structured sparsity
- support vector machine svm
- unsupervised learning
- support vector machine
- pairwise
- training set
- three dimensional
- computer vision
- artificial intelligence