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» Optimal Sequential Exploration: A Binary Learning Model
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UAI
2004
13 years 11 months ago
Active Model Selection
Classical learning assumes the learner is given a labeled data sample, from which it learns a model. The field of Active Learning deals with the situation where the learner begins...
Omid Madani, Daniel J. Lizotte, Russell Greiner
ICCV
2011
IEEE
12 years 10 months ago
Optical Flow Estimation Using Learned Sparse Model
Optical flow estimation is a fundamental and ill-posed problem in computer vision. To recover a dense flow field, appropriate spatial constraints have to be enforced. Recent ad...
Kui Jia, Xiaogang Wang, Xiaoou Tang
CVPR
2009
IEEE
15 years 5 months ago
Recognition of Repetitive Sequential Human Activity
We present a novel framework for recognizing repetitive sequential events performed by human actors with strong temporal dependencies and potential parallel overlap. Our solutio...
Akira Yanagawa, Arun Hampapur, Quanfu Fan, Russell...
RECOMB
2004
Springer
14 years 10 months ago
A random graph approach to NMR sequential assignment
Nuclear magnetic resonance (NMR) spectroscopy allows scientists to study protein structure, dynamics and interactions in solution. A necessary first step for such applications is ...
Chris Bailey-Kellogg, Sheetal Chainraj, Gopal Pand...
ATAL
2010
Springer
13 years 11 months ago
Distributed BDD-based BMC for the verification of multi-agent systems
We present a method of distributed model checking of multiagent systems specified by a branching-time temporal-epistemic logic. We introduce a serial algorithm, central to the dis...
Andrew V. Jones, Alessio Lomuscio