294 search results - page 14 / 59 » Optimized fixed-size kernel models for large data sets |
ICCV
2009
IEEE
15 years 1 months ago
2009
IEEE
We present a manifold learning approach to dimensionality
reduction that explicitly models the manifold as a mapping
from low to high dimensional space. The manifold is
represen...
CVPR
2009
IEEE
15 years 3 months ago
2009
IEEE
In recent years, large databases of natural images have
become increasingly popular in the evaluation of face and
object recognition algorithms. However, Pinto et al. previously
...
ECCV
2004
Springer
14 years 1 months ago
2004
Springer
The null space of the within-class scatter matrix is found to express most discriminative information for the small sample size problem (SSSP). The null space-based LDA takes full ...
KDD
2008
ACM
14 years 8 months ago
2008
ACM
Discriminative training for structured outputs has found increasing applications in areas such as natural language processing, bioinformatics, information retrieval, and computer ...
ICIP
2005
IEEE
14 years 10 months ago
2005
IEEE
Robustly tracking moving objects in video sequences is one of the key problems in computer vision. In this paper we introduce a computationally efficient nonlinear kernel learning...