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ICMLA
2009
15 years 4 months ago
Learning Parameters for Relational Probabilistic Models with Noisy-Or Combining Rule
Languages that combine predicate logic with probabilities are needed to succinctly represent knowledge in many real-world domains. We consider a formalism based on universally qua...
Sriraam Natarajan, Prasad Tadepalli, Gautam Kunapu...
CVPR
2011
IEEE
15 years 3 months ago
Learning to Recognize Objects in Egocentric Activities
This paper addresses the problem of learning object models from egocentric video of household activities, using extremely weak supervision. For each activity sequence, we know onl...
Alireza Fathi, Xiaofeng Ren, James Rehg
ICDS
2009
IEEE
16 years 1 months ago
Anticipating the Digital University
The University of the Digital Society is based on interactions that facilitate learning in a new pragmatic context. Catalysts involved in the learning process replace the traditio...
Mihai Nadin
MM
2005
ACM
150views Multimedia» more  MM 2005»
16 years 3 days ago
Reading SCORM compliant multimedia courses using heterogeneous pervasive devices
The Sharable Content Object Reference Model (SCORM) provides some important representation for distance learning content and the learning behavior. In general, SCORM-Compliant lea...
Te-Hua Wang, Hsuan-Pu Chang, Yun-Long Sie, Kun-Han...
MICCAI
2009
Springer
16 years 7 months ago
Task-Optimal Registration Cost Functions
Abstract. In this paper, we propose a framework for learning the parameters of registration cost functions ? such as the tradeoff between the regularization and image similiarity t...
B. T. Thomas Yeo, Mert R. Sabuncu, Polina Gollan...