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ICIP
2009
IEEE
13 years 3 months ago
Randomness-in-Structured Ensembles for compressed sensing of images
Leading compressed sensing (CS) methods require m = O (k log(n)) compressive samples to perfectly reconstruct a k-sparse signal x of size n using random projection matrices (e.g., ...
Abdolreza A. Moghadam, Hayder Radha
MA
2010
Springer
140views Communications» more  MA 2010»
13 years 4 months ago
The Dirichlet Markov Ensemble
We equip the polytope of n × n Markov matrices with the normalized trace of the Lebesgue measure of Rn2 . This probability space provides random Markov matrices, with i.i.d. rows...
Djalil Chafaï
GLOBECOM
2009
IEEE
13 years 9 months ago
Optimum Allocation of Energy and Spectrum in Power-Controlled Wireless Networks with QoS Constraints
An important performance measure in wireless networks is the manner in which the network can distributively manage its limited energy and spectrum resources, while assuring certain...
Stepán Kucera, Ludek Kucera, Bing Zhang
IJCAI
1989
13 years 6 months ago
A Critique of the Valiant Model
This paper considers the Valiant framework as it is applied to the task of learning logical concepts from random examples. It is argued that the current interpretation of this Val...
Wray L. Buntine