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ICIP
2001
IEEE
16 years 5 months ago
Turbo coding for sample-level watermarking in the DCT domain
Coding at the sample level in still image watermarking takes advantage of avoiding a non-optimum initial diversity stage, used in many watermarking systems for tailoring Gaussian ...
Fabiano Baldo, Federico Pérez Gonzál...
ICIP
2009
IEEE
16 years 4 months ago
Dequantizing Compressed Sensing With Non-gaussian Constraints
In this paper, following the Compressed Sensing (CS) paradigm, we study the problem of recovering sparse or compressible signals from uniformly quantized measurements. We present ...
63
Voted
DAC
2005
ACM
16 years 4 months ago
Exploiting suspected redundancy without proving it
We present several improvements to general-purpose sequential redundancy removal. First, we propose using a robust variety of synergistic transformation and verification algorithm...
Hari Mony, Jason Baumgartner, Viresh Paruthi, Robe...
131
Voted
ICML
2007
IEEE
16 years 4 months ago
Multi-armed bandit problems with dependent arms
We provide a framework to exploit dependencies among arms in multi-armed bandit problems, when the dependencies are in the form of a generative model on clusters of arms. We find ...
Sandeep Pandey, Deepayan Chakrabarti, Deepak Agarw...
ICML
2008
IEEE
16 years 4 months ago
An object-oriented representation for efficient reinforcement learning
Rich representations in reinforcement learning have been studied for the purpose of enabling generalization and making learning feasible in large state spaces. We introduce Object...
Carlos Diuk, Andre Cohen, Michael L. Littman