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» Network Flow Algorithms for Structured Sparsity
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ICCAD
2001
IEEE
201views Hardware» more  ICCAD 2001»
15 years 6 months ago
An Integrated Data Path Optimization for Low Power Based on Network Flow Method
Abstract: We propose an effective algorithm for power optimization in behavioral synthesis. In previous work, it has been shown that several hardware allocation/binding problems fo...
Chun-Gi Lyuh, Taewhan Kim, Chien-Liang Liu
COMGEO
2010
ACM
14 years 9 months ago
The complexity of flow on fat terrains and its i/o-efficient computation
We study the complexity and the I/O-efficient computation of flow on triangulated terrains. We present an acyclic graph, the descent graph, that enables us to trace flow paths in ...
Mark de Berg, Otfried Cheong, Herman J. Haverkort,...
PKDD
2010
Springer
158views Data Mining» more  PKDD 2010»
14 years 8 months ago
Learning Sparse Gaussian Markov Networks Using a Greedy Coordinate Ascent Approach
In this paper, we introduce a simple but efficient greedy algorithm, called SINCO, for the Sparse INverse COvariance selection problem, which is equivalent to learning a sparse Ga...
Katya Scheinberg, Irina Rish
NIPS
2007
14 years 11 months ago
Sparse Feature Learning for Deep Belief Networks
Unsupervised learning algorithms aim to discover the structure hidden in the data, and to learn representations that are more suitable as input to a supervised machine than the ra...
Marc'Aurelio Ranzato, Y-Lan Boureau, Yann LeCun
INFOCOM
2012
IEEE
13 years 15 hour ago
Cuckoo sampling: Robust collection of flow aggregates under a fixed memory budget
—Collecting per-flow aggregates in high-speed links is challenging and usually requires traffic sampling to handle peak rates and extreme traffic mixes. Static selection of sa...
Josep Sanjuàs-Cuxart, Pere Barlet-Ros, Nick...