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» Learning When to Use Lazy Learning in Constraint Solving
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102
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NIPS
2008
14 years 11 months ago
Covariance Estimation for High Dimensional Data Vectors Using the Sparse Matrix Transform
Covariance estimation for high dimensional vectors is a classically difficult problem in statistical analysis and machine learning. In this paper, we propose a maximum likelihood ...
Guangzhi Cao, Charles A. Bouman
CVPR
2010
IEEE
15 years 6 months ago
Reading Between The Lines: Object Localization Using Implicit Cues from Image Tags
Current uses of tagged images typically exploit only the most explicit information: the link between the nouns named and the objects present somewhere in the image. We propose to ...
Sung Ju Hwang, University of Texas, Kristen Grauma...
CVPR
1999
IEEE
15 years 11 months ago
Time-Series Classification Using Mixed-State Dynamic Bayesian Networks
We present a novel mixed-state dynamic Bayesian network (DBN) framework for modeling and classifying timeseries data such as object trajectories. A hidden Markov model (HMM) of di...
Vladimir Pavlovic, Brendan J. Frey, Thomas S. Huan...
73
Voted
EUROGRAPHICS
2010
Eurographics
15 years 6 months ago
Synthesis of Responsive Motion Using a Dynamic Model
Synthesizing the movements of a responsive virtual character in the event of unexpected perturbations has proven a difficult challenge. To solve this problem, we devise a fully a...
Yuting Ye and C. Karen Liu
ECAI
2000
Springer
15 years 2 months ago
Towards Real-Time Search with Inadmissible Heuristics
Real-time search has two aspects, one as an efficient search method (in a single problem solving trial), and the other as an overall problem solving architecture with learning abi...
Masashi Shimbo, Toru Ishida