32 search results - page 4 / 7 » Efficient Recovery of Low-Dimensional Structure from High-Di... |
IVC
2007
13 years 7 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...
TVCG
2008
13 years 7 months ago
2008
Ranking data, which result from m raters ranking n items, are difficult to visualize due to their discrete algebraic structure, and the computational difficulties associated with t...
TSP
2008
13 years 7 months ago
2008
The rapid developing area of compressed sensing suggests that a sparse vector lying in a high dimensional space can be accurately and efficiently recovered from only a small set of...
GRC
2008
IEEE
13 years 8 months ago
2008
IEEE
Manifold learning can discover the structure of high dimensional data and provides understanding of multidimensional patterns by preserving the local geometric characteristics. Ho...
ICPR
2004
IEEE
14 years 8 months ago
2004
IEEE
In this paper, we propose an unsupervised approach to select representative face samples (models) from raw videos and build an appearance-based face recognition system. The approa...