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» A Practical Approach to Network-Based Processing
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109
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IPAS
2007
15 years 2 months ago
Prediction of signs of DCT coefficients in block-based lossy image compression
A practical impossibility of prediction of signs of DCT coefficients is generally accepted. Therefore each coded sign of DCT coefficients occupies usually 1 bit of memory in compr...
Nikolay N. Ponomarenko, Andriy V. Bazhyna, Karen O...
FLAIRS
2008
15 years 2 months ago
State Space Compression with Predictive Representations
Current studies have demonstrated that the representational power of predictive state representations (PSRs) is at least equal to the one of partially observable Markov decision p...
Abdeslam Boularias, Masoumeh T. Izadi, Brahim Chai...
117
Voted
AAAI
2006
15 years 1 months ago
Compact, Convex Upper Bound Iteration for Approximate POMDP Planning
Partially observable Markov decision processes (POMDPs) are an intuitive and general way to model sequential decision making problems under uncertainty. Unfortunately, even approx...
Tao Wang, Pascal Poupart, Michael H. Bowling, Dale...
92
Voted
AAAI
1996
15 years 1 months ago
Agent Amplified Communication
We propose an agent-based framework for assisting and simplifying person-to-person communication for information gathering tasks. As an example, we focus on locating experts for a...
Henry A. Kautz, Bart Selman, Al Milewski
104
Voted
CORR
2010
Springer
207views Education» more  CORR 2010»
15 years 14 days ago
Collaborative Hierarchical Sparse Modeling
Sparse modeling is a powerful framework for data analysis and processing. Traditionally, encoding in this framework is performed by solving an 1-regularized linear regression prob...
Pablo Sprechmann, Ignacio Ramírez, Guillerm...