292 search results - page 8 / 59 » Accelerated Kernel Feature Analysis |
FCCM
2009
IEEE
14 years 26 days ago
2009
IEEE
Modern use of FPGAs as hardware accelerators involves the partial reconfiguration of hardware resources as the application executes. In this paper, we present a polynomial time al...
ICPR
2008
IEEE
14 years 3 months ago
2008
IEEE
In this paper we present the face recognition method using feature-level fusion where the infrared (IR) and visible face images are fused at transformed domain. The main contribut...
IJCAI
2007
13 years 10 months ago
2007
A key challenge in applying kernel-based methods for discriminative learning is to identify a suitable kernel given a problem domain. Many methods instead transform the input data...
AAAI
2007
13 years 11 months ago
2007
String kernels directly model sequence similarities without the necessity of extracting numerical features in a vector space. Since they better capture complex traits in the seque...
NIPS
2008
13 years 10 months ago
2008
Kernel Principal Component Analysis (KPCA) is a popular generalization of linear PCA that allows non-linear feature extraction. In KPCA, data in the input space is mapped to highe...