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ICONIP
2007
13 years 10 months ago
Natural Conjugate Gradient in Variational Inference
Variational methods for approximate inference in machine learning often adapt a parametric probability distribution to optimize a given objective function. This view is especially ...
Antti Honkela, Matti Tornio, Tapani Raiko, Juha Ka...
ICCAD
2008
IEEE
153views Hardware» more  ICCAD 2008»
14 years 5 months ago
Boolean factoring and decomposition of logic networks
This paper presents new methods for restructuring logic networks based on fast Boolean techniques. The basis for these are 1) a cut based view of a logic network, 2) exploiting th...
Alan Mishchenko, Robert K. Brayton, Satrajit Chatt...
MTA
2007
72views more  MTA 2007»
13 years 8 months ago
An improved variable-size block-matching algorithm
In this paper, we proposed an improved “bottom-up” variable-size block matching method. Different from previous work, the proposed method does not need any threshold during th...
Haifeng Wang, Qingshan Liu, Hanqing Lu
CIARP
2010
Springer
13 years 7 months ago
Improving the Dynamic Hierarchical Compact Clustering Algorithm by Using Feature Selection
Abstract. Feature selection has improved the performance of text clustering. In this paper, a local feature selection technique is incorporated in the dynamic hierarchical compact ...
Reynaldo Gil-García, Aurora Pons-Porrata
BMVC
2010
13 years 6 months ago
A general boosting-based framework for active object recognition
We propose a novel general framework with a boosting algorithm to achieve active object classification by view selection. The proposed framework actively decides the next best vie...
Zhaoyin Jia, Yao-Jen Chang, Tsuhan Chen