154 search results - page 14 / 31 » Incremental Nonlinear Dimensionality Reduction by Manifold L... |
ICML
2008
IEEE
16 years 15 days ago
2008
IEEE
In this paper we introduce a novel approach to manifold alignment, based on Procrustes analysis. Our approach differs from "semisupervised alignment" in that it results ...
101
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ICML
2010
IEEE
15 years 23 days ago
2010
IEEE
We propose a new dimensionality reduction method, the elastic embedding (EE), that optimises an intuitive, nonlinear objective function of the low-dimensional coordinates of the d...
ICPR
2004
IEEE
16 years 24 days ago
2004
IEEE
In this paper, a discriminative manifold learning method for face recognition is proposed which achieved the discriminative embedding the high dimensional face data into a low dim...
107
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NIPS
2007
15 years 1 months ago
2007
We propose a novel method for linear dimensionality reduction of manifold modeled data. First, we show that with a small number M of random projections of sample points in RN belo...
ICDM
2006
IEEE
15 years 5 months ago
2006
IEEE
Shape clustering can significantly facilitate the automatic labeling of objects present in image collections. For example, it could outline the existing groups of pathological ce...