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TIT
2008
102views more  TIT 2008»
14 years 9 months ago
On Low-Complexity Maximum-Likelihood Decoding of Convolutional Codes
Abstract--This letter considers the average complexity of maximum-likelihood (ML) decoding of convolutional codes. ML decoding can be modeled as finding the most probable path take...
Jie Luo
PE
2002
Springer
132views Optimization» more  PE 2002»
14 years 9 months ago
Performance evaluation with temporal rewards
Today many formalisms exist for specifying complex Markov chains. In contrast, formalisms for specifying rewards, enabling the analysis of long-run average performance properties,...
Jeroen Voeten
ICIP
2009
IEEE
15 years 10 months ago
A Robust Framework For Aligning Lecture Slides With Video
We propose a robust approach for aligning lecture slides with lecture videos using a combination of Hough transform, optical flow and Gabor analysis. A Markov Decision Process mod...
ICRA
2008
IEEE
170views Robotics» more  ICRA 2008»
15 years 4 months ago
Modeling and recognition of actions through motor primitives
— We investigate modeling and recognition of object manipulation actions for the purpose of imitation based learning in robotics. To model the process, we are using a combination...
David Martínez Mercado, Danica Kragic
IDA
2003
Springer
15 years 3 months ago
Very Predictive Ngrams for Space-Limited Probabilistic Models
In sequential prediction tasks, one repeatedly tries to predict the next element in a sequence. A classical way to solve these problems is to fit an order-n Markov model to the da...
Paul R. Cohen, Charles A. Sutton