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ICASSP
2011
IEEE
14 years 7 months ago
Theoretical analyses on a class of nested RKHS's
One of central topics of kernel machines in the field of machine learning is a model selection, especially a selection of a kernel or its parameters. In our previous work, we dis...
Akira Tanaka, Hideyuki Imai, Mineichi Kudo, Masaak...
113
Voted
CORR
2006
Springer
81views Education» more  CORR 2006»
15 years 3 months ago
Modeling Aspect Mechanisms: A Top-Down Approach
A plethora of aspect mechanisms exist today. All of these diverse mechanisms integrate concerns into artifacts that exhibit crosscutting structure. What we lack and need is a char...
Sergei Kojarski, David H. Lorenz
134
Voted
UAI
2004
15 years 5 months ago
Exponential Families for Conditional Random Fields
In this paper we define conditional random fields in reproducing kernel Hilbert spaces and show connections to Gaussian Process classification. More specifically, we prove decompo...
Yasemin Altun, Alexander J. Smola, Thomas Hofmann
ICIP
2003
IEEE
16 years 5 months ago
Gradient field distributions for the registration of images
This paper introduces a new method to register images that are rotated and translated with respect to each other. The method works by transforming each image to a gradient distrib...
Joshua Gluckman
136
Voted
ICIAP
2009
ACM
16 years 4 months ago
A New Generative Feature Set Based on Entropy Distance for Discriminative Classification
Abstract. Score functions induced by generative models extract fixeddimensions feature vectors from different-length data observations by subsuming the process of data generation, ...
Alessandro Perina, Marco Cristani, Umberto Castell...