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» Dynamically Adapting Kernels in Support Vector Machines
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121
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IJIS
2008
123views more  IJIS 2008»
15 years 3 months ago
Algorithms of nonlinear document clustering based on fuzzy multiset model
Abstract: Fuzzy multiset is applicable as a model of information retrieval because it has the mathematical structure which expresses the number and the degree of attribution of an ...
Kiyotaka Mizutani, Ryo Inokuchi, Sadaaki Miyamoto
110
Voted
PAMI
2006
147views more  PAMI 2006»
15 years 3 months ago
Bayesian Gaussian Process Classification with the EM-EP Algorithm
Gaussian process classifiers (GPCs) are Bayesian probabilistic kernel classifiers. In GPCs, the probability of belonging to a certain class at an input location is monotonically re...
Hyun-Chul Kim, Zoubin Ghahramani
140
Voted
TIFS
2010
103views more  TIFS 2010»
15 years 2 months ago
Addressing missing values in kernel-based multimodal biometric fusion using neutral point substitution
In multimodal biometric information fusion, it is common to encounter missing modalities in which matching cannot be performed. As a result, at the match score level, this implies...
Norman Poh, David Windridge, Vadim Mottl, Alexande...
ARC
2008
Springer
155views Hardware» more  ARC 2008»
15 years 5 months ago
Run-time Adaptable Architectures for Heterogeneous Behavior Embedded Systems
As embedded applications are getting more complex, they are also demanding highly diverse computational capabilities. The majority of all previously proposed reconfigurable archite...
Antonio Carlos Schneider Beck, Mateus B. Rutzig, G...
ICML
2009
IEEE
16 years 4 months ago
Semi-supervised learning using label mean
Semi-Supervised Support Vector Machines (S3VMs) typically directly estimate the label assignments for the unlabeled instances. This is often inefficient even with recent advances ...
Yu-Feng Li, James T. Kwok, Zhi-Hua Zhou