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» A Bayesian Computational Cognitive Model
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ECCV
2000
Springer
16 years 6 months ago
Stochastic Tracking of 3D Human Figures Using 2D Image Motion
A probabilistic method for tracking 3D articulated human figures in monocular image sequences is presented. Within a Bayesian framework, we define a generative model of image appea...
Hedvig Sidenbladh, Michael J. Black, David J. Flee...
168
Voted
EC
2006
195views ECommerce» more  EC 2006»
15 years 4 months ago
Automated Global Structure Extraction for Effective Local Building Block Processing in XCS
Learning Classifier Systems (LCSs), such as the accuracy-based XCS, evolve distributed problem solutions represented by a population of rules. During evolution, features are speci...
Martin V. Butz, Martin Pelikan, Xavier Llorà...
GIS
2006
ACM
16 years 5 months ago
Object localization based on directional information case of 2D vector data
If you were told that some object A was perfectly (or somewhat, or not at all) in some direction (e.g., west, above-right) of some reference object B, where in space would you loo...
Stelian Coros, JingBo Ni, Pascal Matsakis
ICRA
2009
IEEE
204views Robotics» more  ICRA 2009»
15 years 10 months ago
A high-speed multi-GPU implementation of bottom-up attention using CUDA
— In this paper a novel implementation of the saliency map model on a multi-GPU platform using CUDA technology is presented. The saliency map model is a wellknown computational m...
Tingting Xu, Thomas Pototschnig, Kolja Kühnle...
3DOR
2008
15 years 6 months ago
Markov Random Fields for Improving 3D Mesh Analysis and Segmentation
Mesh analysis and clustering have became important issues in order to improve the efficiency of common processing operations like compression, watermarking or simplification. In t...
Guillaume Lavoué, Christian Wolf