TAG: dimensionality_reduction_manifolds_and_embedding

PageDateDiscussion
A Least Squares Formulation for Canonical Correlation Analysis (2008)   2 Comments
An RKHS for Multi-View Learning and Manifold Co-Regularization (2008)   0 Comments
Closed-form Supervised Dimensionality Reduction with Generalized Linear Models (2008)   0 Comments
Deep Learning via Semi-Supervised Embedding (2008)   1 Comment
Dirichlet Component Analysis: Feature Extraction for Compositional Data (2008)   0 Comments
Expectation-Maximization for Sparse and Non-Negative PCA (2008)   0 Comments
Extracting and Composing Robust Features with Denoising Autoencoders (2008)   0 Comments
Fast Solvers and Efficient Implementations for Distance Metric Learning (2008)   0 Comments
Grassmann Discriminant Analysis: a Unifying View on Subspace-Based Learning (2008)   0 Comments
Large Scale Manifold Transduction (2008)   0 Comments
Manifold Alignment using Procrustes Analysis (2008)   0 Comments
ManifoldBoost: Stagewise Function Approximation for Fully-, Semi- and Un-supervised Learning (2008)   0 Comments
Multi-Classification by Categorical Features via Clustering (2008)   0 Comments
Uncorrelated Multilinear Principal Component Analysis through Successive Variance Maximization (2008)   0 Comments
 
 
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