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» A Bayesian Approach to Tackling Hard Computational Problems
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PAMI
2010
249views more  PAMI 2010»
13 years 6 months ago
Fast Keypoint Recognition Using Random Ferns
While feature point recognition is a key component of modern approaches to object detection, existing approaches require computationally expensive patch preprocessing to handle pe...
Mustafa Özuysal, Michael Calonder, Vincent Le...
CIKM
2010
Springer
13 years 6 months ago
Novel local features with hybrid sampling technique for image retrieval
In image retrieval, most existing approaches that incorporate local features produce high dimensional vectors, which lead to a high computational and data storage cost. Moreover, ...
Leszek Kaliciak, Dawei Song, Nirmalie Wiratunga, J...
ICML
2008
IEEE
14 years 8 months ago
Discriminative parameter learning for Bayesian networks
Bayesian network classifiers have been widely used for classification problems. Given a fixed Bayesian network structure, parameters learning can take two different approaches: ge...
Jiang Su, Harry Zhang, Charles X. Ling, Stan Matwi...
ICIP
2009
IEEE
14 years 8 months ago
An Efficient Bayesian Framework For On-line Action Recognition
On-line action recognition from a continuous stream of actions is still an open problem with fewer solutions proposed compared to time-segmented action recognition. The most chall...
TAPIA
2003
ACM
14 years 26 days ago
A hard-constraint time-stepping approach for rigid multibody dynamics with joints, contact, and friction
We present a method for simulating rigid multibody dynamics with joints, contact, and friction. In this work, the nonsmooth contact and frictional constraints are represented by h...
Gary D. Hart, Mihai Anitescu