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ICIP
2009
IEEE
13 years 5 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
TSP
2010
13 years 2 months ago
Sparse channel estimation for multicarrier underwater acoustic communication: from subspace methods to compressed sensing
Abstract--In this paper, we investigate various channel estimators that exploit channel sparsity in the time and/or Doppler domain for a multicarrier underwater acoustic system. We...
Christian R. Berger, Shengli Zhou, James C. Preisi...
PAMI
2011
12 years 10 months ago
Meta-Recognition: The Theory and Practice of Recognition Score Analysis
Abstract—In this paper, we define meta-recognition, a performance prediction method for recognition algorithms, and examine the theoretical basis for its post-recognition score ...
Walter J. Scheirer, Anderson Rocha, Ross J. Michea...
DGO
2006
112views Education» more  DGO 2006»
13 years 8 months ago
Matching and integration across heterogeneous data sources
A sea of undifferentiated information is forming from the body of data that is collected by people and organizations, across government, for different purposes, at different times...
Patrick Pantel, Andrew Philpot, Eduard H. Hovy
COMBINATORICS
1999
90views more  COMBINATORICS 1999»
13 years 7 months ago
On the Theory of Pfaffian Orientations. II. T-joins, k-cuts, and Duality of Enumeration
This is a continuation of our paper "A Theory of Pfaffian Orientations I: Perfect Matchings and Permanents". We present a new combinatorial way to compute the generating...
Anna Galluccio, Martin Loebl