70 search results - page 13 / 14 » Bypassing the embedding: algorithms for low dimensional metr... |
CVPR
2008
IEEE
15 years 11 months ago
2008
IEEE
The earth mover's distance (EMD) [16] is an important perceptually meaningful metric for comparing histograms, but it suffers from high (O(N3 log N)) computational complexity...
ISSS
2002
IEEE
15 years 2 months ago
2002
IEEE
With the popularity of wireless communication devices a new important dimension of embedded systems design has arisen, that of security. This paper presents for the first time des...
IVC
2007
14 years 9 months ago
2007
- Canonical correlation analysis (CCA) is a major linear subspace approach to dimensionality reduction and has been applied to image processing, pose estimation and other fields. H...
JPDC
2007
14 years 9 months ago
2007
In this paper, we address the problem of multiple sequence alignment (MSA) for handling very large number of proteins sequences on mesh-based multiprocessor architectures. As the ...
ICML
2005
IEEE
15 years 10 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 ...