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» Selectivity Estimation using Probabilistic Models
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IJCV
2000
161views more  IJCV 2000»
14 years 11 months ago
Probabilistic Detection and Tracking of Motion Boundaries
We propose a Bayesian framework for representing and recognizing local image motion in terms of two basic models: translational motion and motion boundaries. Motion boundaries are ...
Michael J. Black, David J. Fleet
CEC
2009
IEEE
14 years 9 months ago
Multi-objective Combinatorial Optimisation with Coincidence algorithm
-- Most optimization algorithms that use probabilistic models focus on extracting the information from good solutions found in the population. A selection method discards the below...
Warin Wattanapornprom, Panuwat Olanviwitchai, Para...
ICB
2009
Springer
123views Biometrics» more  ICB 2009»
15 years 6 months ago
Multi-View Face Alignment Using 3D Shape Model for View Estimation
For multi-view face alignment (MVFA), the non-linear variation of shape and texture, and the self-occlusion of facial feature points caused by view change are the two major difficu...
Yanchao Su, Haizhou Ai, Shihong Lao
ICASSP
2009
IEEE
15 years 6 months ago
Language model parameter estimation using user transcriptions
In limited data domains, many effective language modeling techniques construct models with parameters to be estimated on an in-domain development set. However, in some domains, no...
Bo-June Paul Hsu, James R. Glass
ICCV
2003
IEEE
16 years 1 months ago
Regression based Bandwidth Selection for Segmentation using Parzen Windows
We consider the problem of segmentation of images that can be modelled as piecewise continuous signals having unknown, non-stationary statistics. We propose a solution to this pro...
Maneesh Kumar Singh, Narendra Ahuja