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ICASSP
2011
IEEE
14 years 6 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
13 years 5 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»
15 years 8 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»
15 years 3 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
16 years 5 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