318 search results - page 8 / 64 » Learning subspace kernels for classification |
ICIP
2008
IEEE
14 years 9 months ago
2008
IEEE
Subspace learning techniques are widespread in pattern recognition research. They include PCA, ICA, LPP, etc. These techniques are generally linear and unsupervised. The problem o...
BICOB
2010
Springer
13 years 5 months ago
2010
Springer
Fold recognition is a key problem in computational biology that involves classifying protein sharing structural similarities into classes commonly known as "folds". Rece...
ICML
2003
IEEE
14 years 8 months ago
2003
IEEE
ICML
2004
IEEE
14 years 8 months ago
2004
IEEE
Many applications in text and speech processing require the analysis of distributions of variable-length sequences. We recently introduced a general kernel framework, rational ker...
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...