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CVPR
2009
IEEE
16 years 7 months ago
Understanding Videos, Constructing Plots - Learning a Visually Grounded Storyline Model from Annotated Videos
Analyzing videos of human activities involves not only recognizing actions (typically based on their appearances), but also determining the story/plot of the video. The storyline...
Abhinav Gupta (University of Maryland), Praveen Sr...
ICASSP
2008
IEEE
15 years 6 months ago
Learning with noisy supervision for Spoken Language Understanding
Data-driven Spoken Language Understanding (SLU) systems need semantically annotated data which are expensive, time consuming and prone to human errors. Active learning has been su...
Christian Raymond, G. Riccardfi
ACL
1998
15 years 1 months ago
A Text Understander that Learns
We introduce an approach to the automatic acquisition of new concepts fi'om natural language texts which is tightly integrated with the underlying text understanding process....
Udo Hahn, Klemens Schnattinger
CORR
2011
Springer
143views Education» more  CORR 2011»
14 years 3 months ago
Towards Understanding and Harnessing the Potential of Clause Learning
Efficient implementations of DPLL with the addition of clause learning are the fastest complete Boolean satisfiability solvers and can handle many significant real-world problem...
Paul Beame, Henry A. Kautz, Ashish Sabharwal
CVPR
2009
IEEE
15 years 6 months ago
Understanding videos, constructing plots learning a visually grounded storyline model from annotated videos
Analyzing videos of human activities involves not only recognizing actions (typically based on their appearances), but also determining the story/plot of the video. The storyline ...
Abhinav Gupta, Praveen Srinivasan, Jianbo Shi, Lar...