Locality Preserving Embedding
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Locality preserving embedding for face and handwriting digital recognition
Most supervised manifold learning-based methods preserve the original neighbor relationships to pursue the discriminating power. Thus, structure information of the data distributions might be neglected and destroyed in low-dimensional space in a certain ...
Enhanced Locality Preserving Projections
CSSE '08: Proceedings of the 2008 International Conference on Computer Science and Software Engineering - Volume 01In pattern recognition, feature extraction techniques are widely employed to reduce the dimensionality of data. In this paper, a new manifold learning algorithm, called Enhanced Locality Preserving Projections, to identify the underlying manifold ...
Locality Preserving Projections
NIPS'03: Proceedings of the 16th International Conference on Neural Information Processing SystemsMany problems in information processing involve some form of dimensionality reduction. In this paper, we introduce Locality Preserving Projections (LPP). These are linear projective maps that arise by solving a variational problem that optimally ...
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IEEE Computer Society
United States
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