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» Learning and Inference with Constraints
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NIPS
2001
13 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...
ICGI
2010
Springer
13 years 6 months ago
Grammatical Inference as Class Discrimination
Abstract. Grammatical inference is typically defined as the task of finding a compact representation of a language given a subset of sample sequences from that language. Many di...
Menno van Zaanen, Tanja Gaustad
ICCV
1999
IEEE
14 years 9 months ago
Manhattan World: Compass Direction from a Single Image by Bayesian Inference
When designing computer vision systems for the blind and visually impaired it is important to determine the orientation of the user relative to the scene. We observe that most ind...
James M. Coughlan, Alan L. Yuille
POPL
2011
ACM
12 years 10 months ago
Dynamic inference of static types for ruby
There have been several efforts to bring static type inference to object-oriented dynamic languages such as Ruby, Python, and Perl. In our experience, however, such type inference...
Jong-hoon (David) An, Avik Chaudhuri, Jeffrey S. F...
IJCV
2006
120views more  IJCV 2006»
13 years 7 months ago
Contour Inferences for Image Understanding
We present a new approach to the algorithmic study of planar curves, with applications to estimations of contours in images. We construct spaces of curves satisfying constraints su...
Washington Mio, Anuj Srivastava, Xiuwen Liu