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JAIR
2010
145views more  JAIR 2010»
15 years 6 months ago
Planning with Noisy Probabilistic Relational Rules
Noisy probabilistic relational rules are a promising world model representation for several reasons. They are compact and generalize over world instantiations. They are usually in...
Tobias Lang, Marc Toussaint
ISBI
2002
IEEE
16 years 8 months ago
Cardiac ultrasound motion detection by elastic registration exploiting temporal coherence
We propose a new global registration method for estimating the cardiac displacement field in 2D sequences of ultrasound images of the heart. The basic idea is to select a referenc...
Andrés Santos, Jan Kybic, Manuel Desco, Mar...
NIPS
2001
15 years 9 months ago
Probabilistic Inference of Hand Motion from Neural Activity in Motor Cortex
Statistical learning and probabilistic inference techniques are used to infer the hand position of a subject from multi-electrode recordings of neural activity in motor cortex. Fi...
Yun Gao, Michael J. Black, Elie Bienenstock, Shy S...
ESWA
2006
105views more  ESWA 2006»
15 years 7 months ago
Predicting box-office success of motion pictures with neural networks
Predicting box-office receipts of a particular motion picture has intrigued many scholars and industry leaders as a difficult and challenging problem. In this study, the use of ne...
Ramesh Sharda, Dursun Delen
ICPR
2006
IEEE
16 years 8 months ago
Edge-preserving Simultaneous Joint Motion-Disparity Estimation
We propose an energy-based joint motion and disparity estimation algorithm with an anisotropic diffusion operator to yield correct and dense displacement vectors. The model estima...
Dong Bo Min, Kwanghoon Sohn