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» Models for Representing Task Ontologies
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JMLR
2010
137views more  JMLR 2010»
13 years 3 months ago
Covariance in Unsupervised Learning of Probabilistic Grammars
Probabilistic grammars offer great flexibility in modeling discrete sequential data like natural language text. Their symbolic component is amenable to inspection by humans, while...
Shay B. Cohen, Noah A. Smith
ICCV
2011
IEEE
12 years 9 months ago
Superpixel Tracking
While numerous algorithms have been proposed for object tracking with demonstrated success, it remains a challenging problem for a tracker to handle large change in scale, motion,...
Shu Wang, Huchuan Lu, Fan Yang, Ming-Hsuan Yang
KDD
2009
ACM
152views Data Mining» more  KDD 2009»
14 years 9 months ago
A multi-relational approach to spatial classification
Spatial classification is the task of learning models to predict class labels based on the features of entities as well as the spatial relationships to other entities and their fe...
Richard Frank, Martin Ester, Arno Knobbe
WWW
2010
ACM
14 years 3 months ago
Atomate it! end-user context-sensitive automation using heterogeneous information sources on the web
The transition of personal information management (PIM) tools off the desktop to the Web presents an opportunity to augment these tools with capabilities provided by the wealth o...
Max Van Kleek, Brennan Moore, David R. Karger, Pau...
ESANN
2007
13 years 10 months ago
Toward a robust 2D spatio-temporal self-organization
Abstract. Several models have been proposed for spatio-temporal selforganization, among which the TOM model by Wiemer [1] is particularly promising. In this paper, we propose to ad...
Thomas Girod, Laurent Bougrain, Frédé...