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» Sources of Variability in MEG
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COLT
1994
Springer
15 years 1 months ago
Learning Probabilistic Automata with Variable Memory Length
We propose and analyze a distribution learning algorithm for variable memory length Markov processes. These processes can be described by a subclass of probabilistic nite automata...
Dana Ron, Yoram Singer, Naftali Tishby
DCC
2004
IEEE
15 years 9 months ago
Length-Limited Variable-to-Variable Length Codes For High-Performance Entropy Coding
Arithmetic coding achieves a superior coding rate when encoding a binary source, but its lack of speed makes it an inferior choice when true high? performance encoding is needed. ...
Joshua G. Senecal, Mark A. Duchaineau, Kenneth I. ...
TCOM
2008
136views more  TCOM 2008»
14 years 9 months ago
Joint source-channel codes based on irregular turbo codes and variable length codes
Abstract--Variable length codes (VLCs), used in data compression, are very sensitive to error propagation in the presence of noisy channels. To address this problem, several joint ...
Xavier Jaspar, Luc Vandendorpe
95
Voted
CVPR
2011
IEEE
14 years 5 months ago
Shape Estimation in Natural Illumination
The traditional shape-from-shading problem, with a single light source and Lambertian reflectance, is challenging since the constraints implied by the illumination are not suffi...
Micah Johnson, Edward Adelson
66
Voted
ICTAI
2009
IEEE
15 years 4 months ago
EBLearn: Open-Source Energy-Based Learning in C++
Energy-based learning (EBL) is a general framework to describe supervised and unsupervised training methods for probabilistic and non-probabilistic factor graphs. An energy-based ...
Pierre Sermanet, Koray Kavukcuoglu, Yann LeCun