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» Functional Performance Specification with Stochastic Probes
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CVPR
2003
IEEE
14 years 7 months ago
Optimal Linear Representations of Images for Object Recognition
Although linear representations are frequently used in image analysis, their performances are seldom optimal in specific applications. This paper proposes a stochastic gradient al...
Xiuwen Liu, Anuj Srivastava, Kyle Gallivan
TASLP
2010
78views more  TASLP 2010»
13 years 10 days ago
Solving Demodulation as an Optimization Problem
We introduce two new methods for the demodulation of acoustic signals by posing the problem in a convex optimization framework. This allows the parameters of the modulator and carr...
Gregory Sell, Malcolm Slaney
ICNP
2000
IEEE
13 years 10 months ago
TCP-Probing: Towards an Error Control Schema with Energy and Throughput Performance Gains
Today’s universal communications increasingly involve mobile and battery-powered devices (e.g. hand-held, laptop) over wired and wireless networks. Energy efficiency, as well as...
Vassilios Tsaoussidis, Hussein G. Badr
WIOPT
2011
IEEE
12 years 9 months ago
Network utility maximization over partially observable Markovian channels
Abstract—This paper considers maximizing throughput utility in a multi-user network with partially observable Markov ON/OFF channels. Instantaneous channel states are never known...
Chih-Ping Li, Michael J. Neely
IJDSN
2008
81views more  IJDSN 2008»
13 years 5 months ago
A Flexible Stochastic Automaton-Based Algorithm for Network Self-Partitioning
This article proposes a flexible and distributed stochastic automaton-based network partitioning algorithm that is capable of finding the optimal k-way partition with respect to a...
Yan Wan, Sandip Roy, Ali Saberi, Bernard C. Lesieu...