253 search results - page 32 / 51 » Principal Graphs and Manifolds |
114
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ICCV
2003
IEEE
16 years 1 months ago
2003
IEEE
Previous works have demonstrated that the face recognition performance can be improved significantly in low dimensional linear subspaces. Conventionally, principal component analy...
ICCV
2003
IEEE
16 years 1 months ago
2003
IEEE
We propose modeling images and related visual objects as bags of pixels or sets of vectors. For instance, gray scale images are modeled as a collection or bag of (X, Y, I) pixel v...
ICML
2005
IEEE
15 years 12 months ago
2005
IEEE
Recently, several manifold learning algorithms have been proposed, such as ISOMAP (Tenenbaum et al., 2000), Locally Linear Embedding (Roweis & Saul, 2000), Laplacian Eigenmap ...
111
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AMR
2007
Springer
15 years 5 months ago
2007
Springer
Distance measures, along with shape features, are the most critical components in a shape-based 3D model retrieval system. Given a shape feature, an optimal distance measure will v...
114
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VLSM
2005
Springer
15 years 4 months ago
2005
Springer
The need to regularize tensor fields arise recently in various applications. We treat in this paper tensors that belong to matrix Lie groups. We formulate the problem of these SO(...