414 search results - page 13 / 83 » Kernel Optimization in Discriminant Analysis |
NIPS
2000
13 years 9 months ago
2000
Modern classification applications necessitate supplementing the few available labeled examples with unlabeled examples to improve classification performance. We present a new tra...
ICIP
2005
IEEE
14 years 9 months ago
2005
IEEE
We study the use of kernel subspace methods that learn low-dimensional subspace representations for classification tasks. In particular, we propose a new method called kernel weigh...
ICCV
2005
IEEE
14 years 9 months ago
2005
IEEE
Discriminative learning is challenging when examples are sets of features, and the sets vary in cardinality and lack any sort of meaningful ordering. Kernel-based classification m...
ICIP
2005
IEEE
14 years 9 months ago
2005
IEEE
Robustness and discriminability are two key issues in face recognition. In this paper, we propose a new algorithm which extracts micro-structural Gabor feature to achieve good robu...
CVPR
2009
IEEE
15 years 2 months ago
2009
IEEE
Most modern computer vision systems for high-level
tasks, such as image classification, object recognition and
segmentation, are based on learning algorithms that are
able to se...