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TIT
2008
102views more  TIT 2008»
15 years 5 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
147
Voted
PE
2002
Springer
132views Optimization» more  PE 2002»
15 years 5 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
199
Voted
ICIP
2009
IEEE
16 years 6 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...
165
Voted
ICRA
2008
IEEE
170views Robotics» more  ICRA 2008»
15 years 11 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 10 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