1427 search results - page 15 / 286 » Kernels for Semi-Structured Data |
142
Voted
NIPS
2008
15 years 3 months ago
2008
We develop new techniques for time series classification based on hierarchical Bayesian generative models (called mixed-effect models) and the Fisher kernel derived from them. A k...
273
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CVPR
2012
IEEE
13 years 7 months ago
2012
IEEE
Foreground detection is at the core of many video processing tasks. In this paper, we propose a novel video foreground detection method that exploits the statistics of 3D space-tim...
116
Voted
KDD
2008
ACM
16 years 2 months ago
2008
ACM
Kernel methods have been applied successfully in many data mining tasks. Subspace kernel learning was recently proposed to discover an effective low-dimensional subspace of a kern...
107
Voted
ICML
2002
IEEE
16 years 2 months ago
2002
IEEE
Learning from structured data is becoming increasingly important. However, most prior work on kernel methods has focused on learning from attribute-value data. Only recently, rese...
138
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TNN
2010
14 years 8 months ago
2010
Abstract--Recently, sparse approximation has become a preferred method for learning large scale kernel machines. This technique attempts to represent the solution with only a subse...