394 search results - page 27 / 79 » On Feature Extraction via Kernels |
TACAS
2004
Springer
14 years 3 months ago
2004
Springer
Abstract. Model checking suffers not only from the state-space explosion problem, but also from the environment modeling problem: how can one create an accurate enough model of the...
ICPR
2008
IEEE
14 years 11 months ago
2008
IEEE
Speaker independent feature extraction is a critical problem in speech recognition. Oriented principal component analysis (OPCA) is a potential solution that can find a subspace r...
FDL
2006
IEEE
14 years 4 months ago
2006
IEEE
We present an introspection/reflection framework for SystemC which extracts design-relevant structure information and transaction data under any LRM-2.1 compliant simulation kern...
WACV
2008
IEEE
14 years 4 months ago
2008
IEEE
In recent years, many researchers are studying object categorization problem. It is reported that bag of keypoints approach which is based on local features without topological in...
ICB
2007
Springer
14 years 1 months ago
2007
Springer
The symmetrical decomposition is a powerful method to extract features for image recognition. It reveals the significant discriminative information from the mirror image of symmetr...