IEEE Transactions on Pattern Analysis and Machine Intelligence
Locally adaptive subspace and similarity metric learning for visual data clustering and retrieval
Computer Vision and Image Understanding
Feature extraction using constrained maximum variance mapping
Pattern Recognition
Locally linear discriminant embedding: An efficient method for face recognition
Pattern Recognition
Clustering-based nonlinear dimensionality reduction on manifold
PRICAI'06 Proceedings of the 9th Pacific Rim international conference on Artificial intelligence
Linear discriminant projection embedding based on patches alignment
Image and Vision Computing
IbPRIA'11 Proceedings of the 5th Iberian conference on Pattern recognition and image analysis
Neighbor line-based locally linear embedding
PAKDD'06 Proceedings of the 10th Pacific-Asia conference on Advances in Knowledge Discovery and Data Mining
A novel prototype reduction method for the K-nearest neighbor algorithm with K≥1
PAKDD'10 Proceedings of the 14th Pacific-Asia conference on Advances in Knowledge Discovery and Data Mining - Volume Part II
Improved locally linear embedding by cognitive geometry
LSMS'07 Proceedings of the 2007 international conference on Life System Modeling and Simulation
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In recent work, several supervised spectral embedding procedures have been proposed. Although experimentally validated, the construction of these algorithms was rather ad hoc. This paper shows how supervised locally linear embedding can be seen as performing a local Fisher mapping. A new formulation, combining linear and Fisher embedding, is proposed and experimentally validated.