910 search results - page 66 / 182 » Progressive Principal Component Analysis |
KDD
2001
ACM
14 years 8 months ago
2001
ACM
Random projections have recently emerged as a powerful method for dimensionality reduction. Theoretical results indicate that the method preserves distances quite nicely; however,...
GLVLSI
2003
IEEE
14 years 1 months ago
2003
IEEE
Design and implementation of a fast parallel architecture based on an improved principal component analysis (PCA) method called Composite PCA suitable for real-time face recogniti...
FGR
2000
IEEE
14 years 4 days ago
2000
IEEE
Low-dimensional representations of sensory signals are key to solving many of the computational problems encountered in high-level vision. Principal Component Analysis (PCA) has b...
ICVS
1999
Springer
13 years 12 months ago
1999
Springer
While computing power and transmission bandwidth have both been steadily increasing over the last few years, bandwidth rather than processing power remains the primary bottleneck f...
ICIP
2007
IEEE
13 years 11 months ago
2007
IEEE
We propose a novel learning algorithm to detect moving pedestrians from a stationary camera in real-time. The algorithm learns a discriminative model based on eigenflow, i.e. the ...