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JMLR
2012
11 years 9 months ago
Randomized Optimum Models for Structured Prediction
One approach to modeling structured discrete data is to describe the probability of states via an energy function and Gibbs distribution. A recurring difficulty in these models is...
Daniel Tarlow, Ryan Prescott Adams, Richard S. Zem...
TSP
2010
13 years 2 months ago
Distributed sampling of signals linked by sparse filtering: theory and applications
We study the distributed sampling and centralized reconstruction of two correlated signals, modeled as the input and output of an unknown sparse filtering operation. This is akin ...
Ali Hormati, Olivier Roy, Yue M. Lu, Martin Vetter...
ICC
2008
IEEE
101views Communications» more  ICC 2008»
14 years 1 months ago
Reducing Symbol Loss Probability in the Downlink of an OFDMA Based Wireless Network
—This paper studies the problem of minimizing symbol loss probability while keeping the system throughput above a certain threshold in downlink transmission of future OFDMA based...
Amin Alamdar Yazdi, Sameh Sorour, Shahrokh Valaee,...
WEBI
2009
Springer
14 years 2 months ago
Rank Aggregation Based Text Feature Selection
Filtering feature selection method (filtering method, for short) is a well-known feature selection strategy in pattern recognition and data mining. Filtering method outperforms ot...
Ou Wu, Haiqiang Zuo, Mingliang Zhu, Weiming Hu, Ju...
CVPR
2012
IEEE
11 years 9 months ago
Exploring human visual system: Study to aid the development of automatic facial expression recognition framework
This paper focus on understanding human visual system when it decodes or recognizes facial expressions. Results presented can be exploited by the computer vision research communit...
Rizwan Ahmed Khan, Alexandre Meyer, Hubert Konik, ...