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ML
2010
ACM
175views Machine Learning» more  ML 2010»
14 years 11 months ago
Concept learning in description logics using refinement operators
With the advent of the Semantic Web, description logics have become one of the most prominent paradigms for knowledge representation and reasoning. Progress in research and applica...
Jens Lehmann, Pascal Hitzler
CVPR
2012
IEEE
13 years 6 months ago
Multi-output Laplacian dynamic ordinal regression for facial expression recognition and intensity estimation
Automated facial expression recognition has received increased attention over the past two decades. Existing works in the field usually do not encode either the temporal evolutio...
Ognjen Rudovic, Vladimir Pavlovic, Maja Pantic
MM
2003
ACM
235views Multimedia» more  MM 2003»
15 years 9 months ago
Active capture: automatic direction for automatic movies
The Active Capture demonstration is part of a new computational media production paradigm that transforms media production from a manual mechanical process into an automated compu...
Marc Davis, Jeffrey Heer, Ana Ramirez
DATE
2007
IEEE
104views Hardware» more  DATE 2007»
15 years 10 months ago
Dynamic reconfiguration in sensor networks with regenerative energy sources
In highly power constrained sensor networks, harvesting energy from the environment makes prolonged or even perpetual execution feasible. In such energy harvesting systems, energy...
Ani Nahapetian, Paolo Lombardo, Andrea Acquaviva, ...
ICCAD
1999
IEEE
81views Hardware» more  ICCAD 1999»
15 years 8 months ago
Modeling design constraints and biasing in simulation using BDDs
Constraining and input biasing are frequently used techniques in functional verification methodologies based on randomized simulation generation. Constraints confine the simulatio...
Jun Yuan, Kurt Shultz, Carl Pixley, Hillel Miller,...