1039 search results - page 10 / 208 » Kernels and Regularization on Graphs |
137
click to vote
TIP
2008
14 years 11 months ago
2008
Kernel regression is an effective tool for a variety of image processing tasks such as denoising and interpolation [1]. In this paper, we extend the use of kernel regression for de...
110
Voted
CSDA
2007
15 years 13 days ago
2007
Redundancy analysis (RA) is a versatile technique used to predict multivariate criterion variables from multivariate predictor variables. The reduced-rank feature of RA captures r...
113
Voted
ICPR
2010
IEEE
15 years 3 months ago
2010
IEEE
Multiple kernel learning (MKL) uses a weighted combination of kernels where the weight of each kernel is optimized during training. However, MKL assigns the same weight to a kerne...
CORR
2010
Springer
15 years 16 days ago
2010
Springer
Deterministic graph grammars generate regular graphs, that form a structural extension of configuration graphs of pushdown systems. In this paper, we study a probabilistic extensio...
COMBINATORICS
2004
15 years 9 days ago
2004