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» Random sampling and approximation of MAX-CSP problems
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ICIP
2007
IEEE
15 years 11 months ago
Compressed Sensing Image Reconstruction Via Recursive Spatially Adaptive Filtering
We introduce a new approach to image reconstruction from highly incomplete data. The available data are assumed to be a small collection of spectral coef?cients of an arbitrary li...
Karen O. Egiazarian, Alessandro Foi, Vladimir Katk...
105
Voted
SODA
2008
ACM
109views Algorithms» more  SODA 2008»
14 years 11 months ago
Auctions for structured procurement
This paper considers a general setting for structured procurement and the problem a buyer faces in designing a procurement mechanism to maximize profit. This brings together two a...
Matthew Cary, Abraham D. Flaxman, Jason D. Hartlin...
PODS
2005
ACM
151views Database» more  PODS 2005»
15 years 9 months ago
Estimating arbitrary subset sums with few probes
Suppose we have a large table T of items i, each with a weight wi, e.g., people and their salary. In a general preprocessing step for estimating arbitrary subset sums, we assign e...
Noga Alon, Nick G. Duffield, Carsten Lund, Mikkel ...
SENSYS
2003
ACM
15 years 2 months ago
SIA: secure information aggregation in sensor networks
Sensor networks promise viable solutions to many monitoring problems. However, the practical deployment of sensor networks faces many challenges imposed by real-world demands. Sen...
Bartosz Przydatek, Dawn Xiaodong Song, Adrian Perr...
87
Voted
CSL
2010
Springer
14 years 9 months ago
Active learning and semi-supervised learning for speech recognition: A unified framework using the global entropy reduction maxi
We propose a unified global entropy reduction maximization (GERM) framework for active learning and semi-supervised learning for speech recognition. Active learning aims to select...
Dong Yu, Balakrishnan Varadarajan, Li Deng, Alex A...