240 search results - page 4 / 48 » The Kernel Trick for Distances |
ICPR
2008
IEEE
15 years 10 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...
PR
2006
14 years 9 months ago
2006
Choosing appropriate values for kernel parameters is one of the key problems in many kernel-based methods because the values of these parameters have significant impact on the per...
76
Voted
ICML
2010
IEEE
14 years 10 months ago
2010
IEEE
We introduce a novel graph kernel called the Neighborhood Subgraph Pairwise Distance Kernel. The kernel decomposes a graph into all pairs of neighborhood subgraphs of small radius...
73
Voted
NIPS
2003
14 years 11 months ago
2003
We consider the question of predicting nonlinear time series. Kernel Dynamical Modeling (KDM), a new method based on kernels, is proposed as an extension to linear dynamical model...
64
Voted
TSP
2008
14 years 9 months ago
2008
The combination of the famed kernel trick and the least-mean-square (LMS) algorithm provides an interesting sample by sample update for an adaptive filter in reproducing Kernel Hil...