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GECCO
2007
Springer
558views Optimization» more  GECCO 2007»
15 years 4 months ago
A chain-model genetic algorithm for Bayesian network structure learning
Bayesian Networks are today used in various fields and domains due to their inherent ability to deal with uncertainty. Learning Bayesian Networks, however is an NP-Hard task [7]....
Ratiba Kabli, Frank Herrmann, John McCall
RECOMB
2006
Springer
15 years 10 months ago
Simulating Protein Motions with Rigidity Analysis
Abstract. Protein motions, ranging from molecular flexibility to largescale conformational change, play an essential role in many biochemical processes. Despite the explosion in ou...
Shawna L. Thomas, Xinyu Tang, Lydia Tapia, Nancy M...
ICPR
2008
IEEE
15 years 11 months ago
Automatic generation of HMM topology for sign language recognition
Sign language is used for communicating to people with hearing difficulties. Recogntion of a sign language image sequence is challenging because of the variety of hand shapes and ...
Tadashi Matsuo, Yoshiaki Shirai, Nobutaka Shimada
ECIR
2004
Springer
14 years 11 months ago
Applying the Divergence from Randomness Approach for Content-Only Search in XML Documents
Content-only retrieval of XML documents deals with the problem of locating the smallest XML elements that satisfy the query. In this paper, we investigate the application of a spec...
Mohammad Abolhassani, Norbert Fuhr
ICASSP
2011
IEEE
14 years 1 months ago
A non-negative approach to semi-supervised separation of speech from noise with the use of temporal dynamics
We present a semi-supervised source separation methodology to denoise speech by modeling speech as one source and noise as the other source. We model speech using the recently pro...
Gautham J. Mysore, Paris Smaragdis