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» Parameterized Learning Complexity
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130
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CVPR
2009
IEEE
16 years 9 months ago
Discriminatively Trained Particle Filters for Complex Multi-Object Tracking
This work presents a discriminative training method for particle filters in the context of multi-object tracking. We are motivated by the difficulty of hand-tuning the many mode...
Alan Fern, Robin Hess
ICIP
2003
IEEE
16 years 4 months ago
Incorporating complex statistical information in active contour-based image segmentation
We propose an information-theoretic method for multi-phase image segmentation, in an active contour-based framework. Our approach is based on nonparametric density estimates, and ...
Alan S. Willsky, Anthony J. Yezzi, John W. Fisher ...
ECBS
2005
IEEE
103views Hardware» more  ECBS 2005»
15 years 8 months ago
Improving the System/Software Engineering Interface for Complex System Development
At the 2004 Engineering of Computer Based Systems (ECBS) Technical Committee meeting, the ECBS Executive Committee agreed that a guideline on Integrated System and Software Engine...
Stephanie M. White
93
Voted
CORR
2010
Springer
76views Education» more  CORR 2010»
15 years 2 months ago
Nonadaptive quantum query complexity
We study the power of nonadaptive quantum query algorithms, which are algorithms whose queries to the input do not depend on the result of previous queries. First, we show that an...
Ashley Montanaro
NIPS
2008
15 years 3 months ago
Policy Search for Motor Primitives in Robotics
Many motor skills in humanoid robotics can be learned using parametrized motor primitives as done in imitation learning. However, most interesting motor learning problems are high...
Jens Kober, Jan Peters