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» Density Estimation by Mixture Models with Smoothing Priors
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ECCV
2004
Springer
14 years 10 months ago
Local Orientation Smoothness Prior for Vascular Segmentation of Angiography
Abstract. We present a new generic method for vascular segmentation of angiography. Angiography is used for the medical diagnosis of arterial diseases. To facilitate an effective a...
Wilbur C. K. Wong, Albert C. S. Chung, Simon C. H....
EMNLP
2008
13 years 10 months ago
Phrase Translation Probabilities with ITG Priors and Smoothing as Learning Objective
The conditional phrase translation probabilities constitute the principal components of phrase-based machine translation systems. These probabilities are estimated using a heurist...
Markos Mylonakis, Khalil Sima'an
ICASSP
2011
IEEE
13 years 10 days ago
Bayesian sensing hidden Markov models for speech recognition
We introduce Bayesian sensing hidden Markov models (BS-HMMs) to represent speech data based on a set of state-dependent basis vectors. By incorporating the prior density of sensin...
George Saon, Jen-Tzung Chien
NIPS
2008
13 years 10 months ago
Model selection and velocity estimation using novel priors for motion patterns
Psychophysical experiments show that humans are better at perceiving rotation and expansion than translation. These findings are inconsistent with standard models of motion integr...
Shuang Wu, Hongjing Lu, Alan L. Yuille
ICCV
2003
IEEE
14 years 10 months ago
Tracking Objects Using Density Matching and Shape Priors
We present a novel method for tracking objects by combining density matching with shape priors. Density matching is a tracking method which operates by maximizing the Bhattacharyy...
Tao Zhang, Daniel Freedman