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» Solving Demodulation as an Optimization Problem
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SIAMIS
2011
14 years 7 months ago
Large Scale Bayesian Inference and Experimental Design for Sparse Linear Models
Abstract. Many problems of low-level computer vision and image processing, such as denoising, deconvolution, tomographic reconstruction or superresolution, can be addressed by maxi...
Matthias W. Seeger, Hannes Nickisch
106
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STOC
2004
ACM
121views Algorithms» more  STOC 2004»
16 years 1 months ago
Lower bounds for dynamic connectivity
We prove an (lg n) cell-probe lower bound on maintaining connectivity in dynamic graphs, as well as a more general trade-off between updates and queries. Our bound holds even if t...
Mihai Patrascu, Erik D. Demaine
121
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CDC
2009
IEEE
129views Control Systems» more  CDC 2009»
15 years 5 months ago
Resource allocation for signal detection with active sensors
— We consider the problem of determining the existence of known constant signals over a set of sites, given noisy measurements obtained by a team of active sensors that can switc...
Jerome Le Ny, Michael M. Zavlanos, George J. Pappa...
GECCO
2009
Springer
145views Optimization» more  GECCO 2009»
15 years 5 months ago
Investigating and exploiting the bias of the weighted hypervolume to articulate user preferences
Optimizing the hypervolume indicator within evolutionary multiobjective optimizers has become popular in the last years. Recently, the indicator has been generalized to the weight...
Anne Auger, Johannes Bader, Dimo Brockhoff, Eckart...
ATAL
2007
Springer
15 years 6 months ago
Distributed management of flexible times schedules
In this paper we consider the problem of managing and exploiting schedules in an uncertain and distributed environment. We assume a team of collaborative agents, each responsible ...
Stephen F. Smith, Anthony Gallagher, Terry L. Zimm...