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CVPR
2009
IEEE
1081views Computer Vision» more  CVPR 2009»
16 years 11 months ago
Learning Real-Time MRF Inference for Image Denoising
Many computer vision problems can be formulated in a Bayesian framework with Markov Random Field (MRF) or Conditional Random Field (CRF) priors. Usually, the model assumes that ...
Adrian Barbu (Florida State University)
STOC
2003
ACM
178views Algorithms» more  STOC 2003»
16 years 4 months ago
Uniform hashing in constant time and linear space
Many algorithms and data structures employing hashing have been analyzed under the uniform hashing assumption, i.e., the assumption that hash functions behave like truly random fu...
Anna Östlin, Rasmus Pagh
WALCOM
2010
IEEE
290views Algorithms» more  WALCOM 2010»
15 years 11 months ago
The Covert Set-Cover Problem with Application to Network Discovery
We address a version of the set-cover problem where we do not know the sets initially (and hence referred to as covert) but we can query an element to find out which sets contain ...
Sandeep Sen, V. N. Muralidhara
CDC
2008
IEEE
197views Control Systems» more  CDC 2008»
15 years 10 months ago
Dynamic spectrum access policies for cognitive radio
—We study the problem of dynamic spectrum sensing and access in cognitive radio systems as a partially observed Markov decision process (POMDP). A group of cognitive users cooper...
Jayakrishnan Unnikrishnan, Venugopal V. Veeravalli
ICASSP
2008
IEEE
15 years 10 months ago
Subspace compressive detection for sparse signals
The emerging theory of compressed sensing (CS) provides a universal signal detection approach for sparse signals at sub-Nyquist sampling rates. A small number of random projection...
Zhongmin Wang, Gonzalo R. Arce, Brian M. Sadler