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NAACL
2010
15 years 4 months ago
Automatic Domain Adaptation for Parsing
Current statistical parsers tend to perform well only on their training domain and nearby genres. While strong performance on a few related domains is sufficient for many situatio...
David McClosky, Eugene Charniak, Mark Johnson
CVPR
2010
IEEE
14 years 3 months ago
Abrupt motion tracking via adaptive stochastic approximation Monte Carlo sampling
Robust tracking of abrupt motion is a challenging task in computer vision due to the large motion uncertainty. In this paper, we propose a stochastic approximation Monte Carlo (...
Xiuzhuang Zhou and Yao Lu
CVPR
2012
IEEE
13 years 8 months ago
Visual tracking via adaptive structural local sparse appearance model
Sparse representation has been applied to visual tracking by finding the best candidate with minimal reconstruction error using target templates. However most sparse representati...
Xu Jia, Huchuan Lu, Ming-Hsuan Yang
CVPR
2012
IEEE
13 years 8 months ago
Background modeling using adaptive pixelwise kernel variances in a hybrid feature space
Recent work on background subtraction has shown developments on two major fronts. In one, there has been increasing sophistication of probabilistic models, from mixtures of Gaussi...
Manjunath Narayana, Allen R. Hanson, Erik G. Learn...
CSL
2011
Springer
15 years 1 months ago
Designing and evaluating a wizarded uncertainty-adaptive spoken dialogue tutoring system
We describe the design and evaluation of two different dynamic student uncertainty adaptations in wizarded versions of a spoken dialogue tutoring system. The two adaptive systems...
Katherine Forbes-Riley, Diane J. Litman