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ICONIP
2007
15 years 3 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»
15 years 10 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...
106
Voted
MTA
2007
72views more  MTA 2007»
15 years 1 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
15 years 25 days 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
126
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BMVC
2010
14 years 12 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