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» Modeling When Connections Are the Problem
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TSP
2008
124views more  TSP 2008»
15 years 6 months ago
Robust Beamforming via Worst-Case SINR Maximization
Minimum variance beamforming, which uses a weight vector that maximizes the signal-to-interference-plus-noise ratio (SINR), is often sensitive to estimation error and uncertainty i...
Seung-Jean Kim, Alessandro Magnani, Almir Mutapcic...
JMLR
2006
120views more  JMLR 2006»
15 years 6 months ago
Learning Parts-Based Representations of Data
Many perceptual models and theories hinge on treating objects as a collection of constituent parts. When applying these approaches to data, a fundamental problem arises: how can w...
David A. Ross, Richard S. Zemel
IWPEC
2009
Springer
16 years 1 months ago
Stable Assignment with Couples: Parameterized Complexity and Local Search
We study the Hospitals/Residents with Couples problem, a variant of the classical Stable Marriage problem. This is the extension of the Hospitals/Residents problem where residents ...
Dániel Marx, Ildikó Schlotter
CPAIOR
2009
Springer
16 years 1 months ago
Open Constraints in a Boundable World
Open forms of global constraints allow the addition of new variables to an argument during the execution of a constraint program. Such forms are needed for difficult constraint pro...
Michael J. Maher
GLOBECOM
2008
IEEE
16 years 1 months ago
Exploiting Partial Cooperation for Source and Channel Coding in Sensor Networks
Abstract—A network with two sensors communicating a remote measurement to a common access point (AP) is investigated. The sensors are connected via out-of-band and finite-capaci...
Osvaldo Simeone