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» A Sequential Monte Carlo Method for Motif Discovery
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BIBE
2010
IEEE
144views Bioinformatics» more  BIBE 2010»
13 years 10 months ago
Knowledge-Guided Docking of Flexible Ligands to SH2 Domain Proteins
Studies of interactions between protein domains and ligands are important in many aspects such as cellular signaling and regulation. In this work, we applied a three-stage knowledg...
Haiyun Lu, Shamima Banu Bte Sm Rashid, Hao Li, Wee...
ICASSP
2011
IEEE
13 years 26 days ago
Video object tracking with differential Structural SIMilarity index
The Structural SIMilarity Measure (SSIM) combined with the sequential Monte Carlo approach has been shown [1] to achieve more reliable video object tracking performance, compared ...
Artur Loza, Fanglin Wang, Jie Yang, Lyudmila Mihay...
ICRA
2010
IEEE
158views Robotics» more  ICRA 2010»
13 years 7 months ago
Real-time monocular SLAM: Why filter?
Abstract— While the most accurate solution to off-line structure from motion (SFM) problems is undoubtedly to extract as much correspondence information as possible and perform g...
Hauke Strasdat, J. M. M. Montiel, Andrew J. Daviso...
APBC
2004
173views Bioinformatics» more  APBC 2004»
13 years 10 months ago
RNA Secondary Structure Prediction with Simple Pseudoknots
Pseudoknots are widely occurring structural motifs in RNA. Pseudoknots have been shown to be functionally important in different RNAs which play regulatory, catalytic, or structur...
Jitender S. Deogun, Ruben Donts, Olga Komina, Fang...
ICCV
2005
IEEE
14 years 11 months ago
Probabilistic Contour Extraction Using Hierarchical Shape Representation
In this paper, we address the issue of extracting contour of the object with a specific shape. A hierarchical graphical model is proposed to represent shape variations. A complex ...
Xin Fan, Chun Qi, Dequn Liang, Hua Huang