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APPROX
2005
Springer
111views Algorithms» more  APPROX 2005»
14 years 1 months ago
Sampling Bounds for Stochastic Optimization
A large class of stochastic optimization problems can be modeled as minimizing an objective function f that depends on a choice of a vector x ∈ X, as well as on a random external...
Moses Charikar, Chandra Chekuri, Martin Pál
DAC
2004
ACM
14 years 8 months ago
A scalable soft spot analysis methodology for compound noise effects in nano-meter circuits
Circuits using nano-meter technologies are becoming increasingly vulnerable to signal interference from multiple noise sources as well as radiation-induced soft errors. One way to...
Chong Zhao, Xiaoliang Bai, Sujit Dey
DSRT
2008
IEEE
13 years 9 months ago
RTPROC: A System for Rapid Real-Time Prototyping in Audio Signal Processing
In this contribution a new system for the rapid development of real-time prototypes for digital audio signal processing algorithms on Windows PCs and a Digital Signal Processor (D...
Hauke Krüger, Peter Vary
CVPR
2007
IEEE
14 years 10 months ago
Element Rearrangement for Tensor-Based Subspace Learning
The success of tensor-based subspace learning depends heavily on reducing correlations along the column vectors of the mode-k flattened matrix. In this work, we study the problem ...
Shuicheng Yan, Dong Xu, Stephen Lin, Thomas S. Hua...
VLSID
2003
IEEE
92views VLSI» more  VLSID 2003»
14 years 8 months ago
Energy Efficient Scheduling for Datapath Synthesis
In this paper, we describe two new algorithms for datapath scheduling which aim at energy reduction while maintaining performance. The proposed algorithms, time constrained and re...
Saraju P. Mohanty, N. Ranganathan