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» Synthesizing Probabilistic Composers
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CVPR
2004
IEEE
14 years 9 months ago
An Algorithm for Multiple Object Trajectory Tracking
Most tracking algorithms are based on the maximum a posteriori (MAP) solution of a probabilistic framework called Hidden Markov Model, where the distribution of the object state a...
Mei Han, Wei Xu, Hai Tao, Yihong Gong
ICPR
2008
IEEE
14 years 8 months ago
Weakly supervised learning using proportion-based information: An application to fisheries acoustics
This paper addresses the inference of probabilistic classification models using weakly supervised learning. In contrast to previous work, the use of proportion-based training data...
Carla Scalarin, Jacques Masse, Jean-Marc Boucher, ...
ICCD
2006
IEEE
148views Hardware» more  ICCD 2006»
14 years 4 months ago
Trends and Future Directions in Nano Structure Based Computing and Fabrication
— As silicon CMOS devices are scaled down into the nanoscale regime, new challenges at both the device and system level are arising. While some of these challenges will be overco...
R. Iris Bahar
FGR
2008
IEEE
221views Biometrics» more  FGR 2008»
14 years 1 months ago
Markovian mixture face recognition with discriminative face alignment
A typical automatic face recognition system is composed of three parts: face detection, face alignment and face recognition. Conventionally, these three parts are processed in a b...
Ming Zhao 0003, Tat-Seng Chua
EUROCRYPT
2004
Springer
14 years 25 days ago
Positive Results and Techniques for Obfuscation
Informally, an obfuscator O is an efficient, probabilistic “compiler” that transforms a program P into a new program O(P) with the same functionality as P, but such that O(P)...
Ben Lynn, Manoj Prabhakaran, Amit Sahai