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ICASSP
2011
IEEE
12 years 12 months ago
Online performance guarantees for sparse recovery
A K∗ -sparse vector x∗ ∈ RN produces measurements via linear dimensionality reduction as u = Φx∗ + n, where Φ ∈ RM×N (M < N), and n ∈ RM consists of independent ...
Raja Giryes, Volkan Cevher
JMLR
2012
11 years 10 months ago
Universal Measurement Bounds for Structured Sparse Signal Recovery
Standard compressive sensing results state that to exactly recover an s sparse signal in Rp , one requires O(s · log p) measurements. While this bound is extremely useful in prac...
Nikhil S. Rao, Ben Recht, Robert D. Nowak
SIGMETRICS
2004
ACM
131views Hardware» more  SIGMETRICS 2004»
14 years 1 months ago
Failure recovery for structured P2P networks: protocol design and performance evaluation
Measurement studies indicate a high rate of node dynamics in p2p systems. In this paper, we address the question of how high a rate of node dynamics can be supported by structured...
Simon S. Lam, Huaiyu Liu
CN
2006
113views more  CN 2006»
13 years 8 months ago
Failure recovery for structured p2p networks: Protocol design and performance under churn
Measurement studies indicate a high rate of node dynamics in p2p systems. In this paper, we address the question of how high a rate of node dynamics can be supported by structured...
Simon S. Lam, Huaiyu Liu
CVPR
2008
IEEE
14 years 10 months ago
Local deformation models for monocular 3D shape recovery
Without a deformation model, monocular 3D shape recovery of deformable surfaces is severly under-constrained. Even when the image information is rich enough, prior knowledge of th...
Mathieu Salzmann, Raquel Urtasun, Pascal Fua