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» Explicit recursivity into reproducing kernel Hilbert spaces
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ICPR
2010
IEEE
14 years 11 months ago
A Relationship between Generalization Error and Training Samples in Kernel Regressors
A relationship between generalization error and training samples in kernel regressors is discussed in this paper. The generalization error can be decomposed into two components. On...
Akira Tanaka, Hideyuki Imai, Mineichi Kudo, Masaak...
JMLR
2011
148views more  JMLR 2011»
14 years 4 months ago
Bayesian Generalized Kernel Mixed Models
We propose a fully Bayesian methodology for generalized kernel mixed models (GKMMs), which are extensions of generalized linear mixed models in the feature space induced by a repr...
Zhihua Zhang, Guang Dai, Michael I. Jordan
ECCV
2002
Springer
15 years 11 months ago
Time-Recursive Velocity-Adapted Spatio-Temporal Scale-Space Filters
Abstract. This paper presents a theory for constructing and computing velocity-adapted scale-space filters for spatio-temporal image data. Starting from basic criteria in terms of ...
Tony Lindeberg
ICML
2009
IEEE
15 years 10 months ago
Learning kernels from indefinite similarities
Similarity measures in many real applications generate indefinite similarity matrices. In this paper, we consider the problem of classification based on such indefinite similariti...
Yihua Chen, Maya R. Gupta, Benjamin Recht
ECML
2005
Springer
15 years 3 months ago
Kernel Basis Pursuit
ABSTRACT. Estimating a non-uniformly sampled function from a set of learning points is a classical regression problem. Kernel methods have been widely used in this context, but eve...
Vincent Guigue, Alain Rakotomamonjy, Stépha...