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» Orthogonal Neighborhood Preserving Projections
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ICPP
2000
IEEE
13 years 9 months ago
Evaluation of Loop Grouping Methods Based on Orthogonal Projection Spaces
This paper compares three similar loop-grouping methods. All methods are based on projecting the n-dimensional iteration space Jn onto a k-dimensional one, called the projected sp...
Ioannis Drositis, Georgios I. Goumas, Nectarios Ko...
CVPR
2008
IEEE
14 years 6 months ago
Spectral methods for semi-supervised manifold learning
Given a finite number of data points sampled from a low-dimensional manifold embedded in a high dimensional space together with the parameter vectors for a subset of the data poin...
Zhenyue Zhang, Hongyuan Zha, Min Zhang
NIPS
2003
13 years 6 months ago
Locality Preserving Projections
Many problems in information processing involve some form of dimensionality reduction. In this paper, we introduce Locality Preserving Projections (LPP). These are linear projecti...
Xiaofei He, Partha Niyogi
GRC
2008
IEEE
13 years 5 months ago
Neighborhood Smoothing Embedding for Noisy Manifold Learning
Manifold learning can discover the structure of high dimensional data and provides understanding of multidimensional patterns by preserving the local geometric characteristics. Ho...
Guisheng Chen, Junsong Yin, Deyi Li
ICPR
2008
IEEE
13 years 11 months ago
Fuzzy discriminant projections for facial expression recognition
A linear projective map called fuzzy discriminant projections has been proposed in this paper. Fuzzy discriminant projection (FDP) is motivated by locality preserving projections ...
Ruicong Zhi, Qiuqi Ruan, Zhenjiang Miao