588 search results - page 77 / 118 » Computing the Dimension of Linear Subspaces |
ICCV
2007
IEEE
14 years 4 months ago
2007
IEEE
Dimensionality reduction plays a fundamental role in data processing, for which principal component analysis (PCA) is widely used. In this paper, we develop the Laplacian PCA (LPC...
IPPS
2002
IEEE
14 years 2 months ago
2002
IEEE
Accurate estimation of signal delay is critical to the design and verification of VLSI circuits. At very high frequencies, signal delay in circuits with small feature sizes is do...
CVPR
2008
IEEE
14 years 12 months ago
2008
IEEE
Tensor based dimensionality reduction has recently been extensively studied for computer vision applications. To our knowledge, however, there exist no rigorous error analysis on ...
ASIACRYPT
2004
Springer
14 years 3 months ago
2004
Springer
The “XL-algorithm” is a computational method to solve overdetermined systems of polynomial equations which is based on a generalization of the well-known method of linearizatio...
FOCS
1999
IEEE
14 years 2 months ago
1999
IEEE
Mixtures of Gaussians are among the most fundamental and widely used statistical models. Current techniques for learning such mixtures from data are local search heuristics with w...