Embedding Learning
3,795 papers
Papers per year
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Papers
Euclidean Embedding of Co-occurrence Data
JMLR 2007
Learning the structure of manifolds using random projections
NeurIPS 2007
Random Projections for Manifold Learning
NeurIPS 2007
Sparse Overcomplete Latent Variable Decomposition of Counts Data
NeurIPS 2007
Approximate Correspondences in High Dimensions
NeurIPS 2006
Convergence of Laplacian Eigenmaps
NeurIPS 2006
Large Margin Component Analysis
NeurIPS 2006
Learning Spectral Clustering, With Application To Speech Separation
JMLR 2006
Learning to Traverse Image Manifolds
NeurIPS 2006
Learning with Hypergraphs: Clustering, Classification, and Embedding
NeurIPS 2006
MLLE: Modified Locally Linear Embedding Using Multiple Weights
NeurIPS 2006
Recursive Attribute Factoring
NeurIPS 2006
Inner Product Spaces for Bayesian Networks
JMLR 2005
Learning the Kernel with Hyperkernels
JMLR 2005
Feature Discovery in Non-Metric Pairwise Data
JMLR 2004
Think Globally, Fit Locally: Unsupervised Learning of Low Dimensional Manifolds
JMLR 2003
Use of the Zero-Norm with Linear Models and Kernel Methods
JMLR 2003
Limitations of Learning Via Embeddings in Euclidean Half Spaces
JMLR 2002
A Generalized Kernel Approach to Dissimilarity-based Classification
JMLR 2001
Kernel Partial Least Squares Regression in Reproducing Kernel Hilbert Space
JMLR 2001