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CVPR
2009
IEEE
15 years 2 months ago
What's It Going to Cost You?: Predicting Effort vs. Informativeness for Multi-Label Image Annotations
Active learning strategies can be useful when manual labeling effort is scarce, as they select the most informative examples to be annotated first. However, for visual category ...
Sudheendra Vijayanarasimhan (University of Texas a...
SIGMETRICS
2003
ACM
106views Hardware» more  SIGMETRICS 2003»
14 years 22 days ago
On the effectiveness of movement prediction to reduce energy consumption in wireless communication
—Node movement can be exploited to reduce the energy consumption of wireless network communication. The strategy consists in delaying communication until a mobile node moves clos...
Srijan Chakraborty, David K. Y. Yau, John C. S. Lu...
ICPR
2002
IEEE
14 years 8 months ago
Integrated Event Recognition from Multiple Sources
This paper proposes a system architecture for event recognition that integrates information from multiple sources (e.g., gesture and speech recognition from distributed sensors in...
Hiroaki Kawashima, Takashi Matsuyama
VLDB
2007
ACM
89views Database» more  VLDB 2007»
14 years 7 months ago
Effective Phrase Prediction
Autocompletion is a widely deployed facility in systems that require user input. Having the system complete a partially typed "word" can save user time and effort. In th...
Arnab Nandi, H. V. Jagadish
IJCV
2010
152views more  IJCV 2010»
13 years 6 months ago
Learning Articulated Structure and Motion
Humans demonstrate a remarkable ability to parse complicated motion sequences into their constituent structures and motions. We investigate this problem, attempting to learn the st...
David A. Ross, Daniel Tarlow, Richard S. Zemel