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GECCO
2006
Springer
156views Optimization» more  GECCO 2006»
14 years 1 months ago
Probabilistic modeling for continuous EDA with Boltzmann selection and Kullback-Leibeler divergence
This paper extends the Boltzmann Selection, a method in EDA with theoretical importance, from discrete domain to the continuous one. The difficulty of estimating the exact Boltzma...
Yunpeng Cai, Xiaomin Sun, Peifa Jia
AAAI
2011
12 years 9 months ago
Combining Learned Discrete and Continuous Action Models
Action modeling is an important skill for agents that must perform tasks in novel domains. Previous work on action modeling has focused on learning STRIPS operators in discrete, r...
Joseph Z. Xu, John E. Laird
ICPR
2008
IEEE
14 years 11 months ago
Application of triphone clustering in acoustic modeling for continuous speech recognition in Bengali
The performance of the acoustic models is highly reflective on the overall performance of any continuous speech recognition system. Hence generation of an accurate and robust acou...
Anupam Basu, Gaurav Garg, Pabitra Mitra, Pratyush ...
ICIP
1994
IEEE
14 years 11 months ago
Joint Parameter Estimation and Restoration using MRF Models and Homotopy Continuation Method
This paper presents a joint strategy for parameter estimation of Markov Random Field (MRF) model and image restoration. The proposed scheme is an unsupervised one in the sense tha...
P. K. Nanda, Uday B. Desai, P. G. Poonacha
ICML
2004
IEEE
14 years 10 months ago
Generative modeling for continuous non-linearly embedded visual inference
Many difficult visual perception problems, like 3D human motion estimation, can be formulated in terms of inference using complex generative models, defined over high-dimensional ...
Cristian Sminchisescu, Allan D. Jepson