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FLAIRS
2001
13 years 10 months ago
A Method for Evaluating Elicitation Schemes for Probabilities
We present an objective approach for evaluating probability elicitation methods in probabilistic models. Our method draws on ideas from research on learning Bayesian networks: if ...
Haiqin Wang, Denver Dash, Marek J. Druzdzel
CVPR
2000
IEEE
14 years 11 months ago
Representation and Optimal Recognition of Human Activities
Towards the goal of realizing a generic automatichuman activity recognition system, a new formalism is proposed. Activities are described by a chained hierarchical representation ...
François Brémond, Ramakant Nevatia, ...
CVPR
2008
IEEE
14 years 11 months ago
Sequential particle swarm optimization for visual tracking
Visual tracking usually involves an optimization process for estimating the motion of an object from measured images in a video sequence. In this paper, a new evolutionary approac...
Xiaoqin Zhang, Weiming Hu, Stephen J. Maybank, Xi ...
IJCAI
2007
13 years 10 months ago
Incremental Learning of Perceptual Categories for Open-Domain Sketch Recognition
Most existing sketch understanding systems require a closed domain to achieve recognition. This paper describes an incremental learning technique for opendomain recognition. Our s...
Andrew M. Lovett, Morteza Dehghani, Kenneth D. For...
ICIP
2010
IEEE
13 years 7 months ago
Semi-automatic motion based segmentation using long term motion trajectories
Semi-automated object segmentation is an important step in the cinema post-production workflow. We propose a dense motion based segmentation process that employs sparse feature ba...
Gary Baugh, Anil C. Kokaram