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» Approximation Algorithms for Data Placement Problems
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VLSID
2007
IEEE
206views VLSI» more  VLSID 2007»
14 years 8 months ago
MAX: A Multi Objective Memory Architecture eXploration Framework for Embedded Systems-on-Chip
Today's feature-rich multimedia products require embedded system solution with complex System-on-Chip (SoC) to meet market expectations of high performance at a low cost and l...
T. S. Rajesh Kumar, C. P. Ravikumar, R. Govindaraj...
KDD
2009
ACM
188views Data Mining» more  KDD 2009»
14 years 8 months ago
Mining discrete patterns via binary matrix factorization
Mining discrete patterns in binary data is important for subsampling, compression, and clustering. We consider rankone binary matrix approximations that identify the dominant patt...
Bao-Hong Shen, Shuiwang Ji, Jieping Ye
ICIP
2010
IEEE
13 years 5 months ago
Restoration of images and 3D data to higher resolution by deconvolution with sparsity regularization
Image convolution is conventionally approximated by the LTI discrete model. It is well recognized that the higher the sampling rate, the better is the approximation. However somet...
Yingsong Zhang, Nick G. Kingsbury
FOCS
2006
IEEE
14 years 1 months ago
Algorithms on negatively curved spaces
d abstract] Robert Krauthgamer ∗ IBM Almaden James R. Lee † Institute for Advanced Study We initiate the study of approximate algorithms on negatively curved spaces. These spa...
Robert Krauthgamer, James R. Lee
JMLR
2008
137views more  JMLR 2008»
13 years 7 months ago
Online Learning of Complex Prediction Problems Using Simultaneous Projections
We describe and analyze an algorithmic framework for online classification where each online trial consists of multiple prediction tasks that are tied together. We tackle the prob...
Yonatan Amit, Shai Shalev-Shwartz, Yoram Singer