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» Improving on Expectation Propagation
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ICDM
2006
IEEE
145views Data Mining» more  ICDM 2006»
14 years 2 months ago
Stability Region Based Expectation Maximization for Model-based Clustering
In spite of the initialization problem, the ExpectationMaximization (EM) algorithm is widely used for estimating the parameters in several data mining related tasks. Most popular ...
Chandan K. Reddy, Hsiao-Dong Chiang, Bala Rajaratn...
WSCG
2004
245views more  WSCG 2004»
13 years 10 months ago
Pel-Recursive Motion Estimation Using the Expectation-Maximization Technique and Spatial Adaptation
Pel-recursive motion estimation is a well-established approach. However, in the presence of noise, it becomes an ill-posed problem that requires regularization. In this paper, mot...
Vania V. Estrela, Luís A. Rivera, Marcos H....
AROBOTS
2000
108views more  AROBOTS 2000»
13 years 8 months ago
Optimal Selection of Uncertain Actions by Maximizing Expected Utility
A new means of action selection via utility fusion is introduced as an alternative to both sensor fusion and command fusion. Distributed asynchronous behaviors indicate the utility...
Julio Rosenblatt
ACE
2004
189views Education» more  ACE 2004»
13 years 10 months ago
Change and Innovation We Expect of ICT Teaching Staff
Many governments are emphasizing the need to improve ICT skills, research and innovations, often making special reference to the role of higher education. At the 2003 conference o...
B. Christo Potgieter
CADE
2000
Springer
14 years 29 days ago
Two Techniques to Improve Finite Model Search
Abstract. This article introduces two techniques to improve the propagation efficiency of CSP based finite model generation methods. One approach consists in statically rewriting ...
Gilles Audemard, Belaid Benhamou, Laurent Henocque