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ANTSW
2008
Springer
13 years 9 months ago
Adaptive Particle Swarm Optimization
An adaptive particle swarm optimization (APSO) that features better search efficiency than classical particle swarm optimization (PSO) is presented. More importantly, it can perfor...
Zhi-hui Zhan, Jun Zhang
IJCV
2010
261views more  IJCV 2010»
13 years 6 months ago
HumanEva: Synchronized Video and Motion Capture Dataset and Baseline Algorithm for Evaluation of Articulated Human Motion
While research on articulated human motion and pose estimation has progressed rapidly in the last few years, there has been no systematic quantitative evaluation of competing meth...
Leonid Sigal, Alexandru O. Balan, Michael J. Black
IJCV
2008
188views more  IJCV 2008»
13 years 7 months ago
Partial Linear Gaussian Models for Tracking in Image Sequences Using Sequential Monte Carlo Methods
The recent development of Sequential Monte Carlo methods (also called particle filters) has enabled the definition of efficient algorithms for tracking applications in image sequen...
Elise Arnaud, Étienne Mémin
BMCBI
2006
101views more  BMCBI 2006»
13 years 7 months ago
Predicting residue contacts using pragmatic correlated mutations method: reducing the false positives
Background: Predicting residues' contacts using primary amino acid sequence alone is an important task that can guide 3D structure modeling and can verify the quality of the ...
Petras J. Kundrotas, Emil Alexov
DAC
2007
ACM
14 years 8 months ago
Optimization of Area in Digital FIR Filters using Gate-Level Metrics
In the paper, we propose a new metric for the minimization of area in the generic problem of multiple constant multiplications, and demonstrate its effectiveness for digital FIR f...
Eduardo A. C. da Costa, José C. Monteiro, L...