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CORR
2011
Springer
183views Education» more  CORR 2011»
15 years 1 months ago
Sparse Signal Recovery with Temporally Correlated Source Vectors Using Sparse Bayesian Learning
— We address the sparse signal recovery problem in the context of multiple measurement vectors (MMV) when elements in each nonzero row of the solution matrix are temporally corre...
Zhilin Zhang, Bhaskar D. Rao
GECCO
2011
Springer
276views Optimization» more  GECCO 2011»
14 years 10 months ago
Evolution of reward functions for reinforcement learning
The reward functions that drive reinforcement learning systems are generally derived directly from the descriptions of the problems that the systems are being used to solve. In so...
Scott Niekum, Lee Spector, Andrew G. Barto
PAMI
2012
13 years 9 months ago
A Blur-Robust Descriptor with Applications to Face Recognition
—Understanding the effect of blur is an important problem in unconstrained visual analysis. We address this problem in the context of image-based recognition, by a fusion of imag...
Raghuraman Gopalan, Sima Taheri, Pavan K. Turaga, ...
PAKDD
2010
ACM
275views Data Mining» more  PAKDD 2010»
15 years 10 months ago
Anonymizing Transaction Data by Integrating Suppression and Generalization
Abstract. Privacy protection in publishing transaction data is an important problem. A key feature of transaction data is the extreme sparsity, which renders any single technique i...
Junqiang Liu, Ke Wang
ICARIS
2007
Springer
15 years 10 months ago
Regulatory T Cells: Inspiration for Artificial Immune Systems
In this conceptual paper, some features of regulatory T cells are described. These cells have been receiving an increasing attention in Immunological research, due to their importa...
Thiago S. Guzella, Tomaz A. Mota-Santos, Walmir M....