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PRL
2008
161views more  PRL 2008»
13 years 8 months ago
Automatic kernel clustering with a Multi-Elitist Particle Swarm Optimization Algorithm
This article introduces a scheme for clustering complex and linearly non-separable datasets, without any prior knowledge of the number of naturally occurring groups in the data. T...
Swagatam Das, Ajith Abraham, Amit Konar
ICRA
2006
IEEE
165views Robotics» more  ICRA 2006»
14 years 2 months ago
Biped Gait Optimization using Spline Function based Probability Model
— A new Estimation of Distribution Algorithm (EDA) with spline kernel function (EDA_S) is proposed to optimize biped gait for a nine-link humanoid robot. Gait synthesis of the bi...
Lingyun Hu, Changjiu Zhou, Zengqi Sun
FTCGV
2011
122views more  FTCGV 2011»
13 years 11 days ago
Structured Learning and Prediction in Computer Vision
Powerful statistical models that can be learned efficiently from large amounts of data are currently revolutionizing computer vision. These models possess a rich internal structur...
Sebastian Nowozin, Christoph H. Lampert
CF
2009
ACM
14 years 3 months ago
Evaluating multi-core platforms for HPC data-intensive kernels
Multi-core platforms have proven themselves able to accelerate numerous HPC applications. But programming dataintensive applications on such platforms is a hard, and not yet solve...
Alexander S. van Amesfoort, Ana Lucia Varbanescu, ...
ICCV
2007
IEEE
13 years 10 months ago
Probabilistic Fusion Tracking Using Mixture Kernel-Based Bayesian Filtering
Even though sensor fusion techniques based on particle filters have been applied to object tracking, their implementations have been limited to combining measurements from multip...
Bohyung Han, Seong-Wook Joo, Larry S. Davis