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TIT
2010
128views Education» more  TIT 2010»
13 years 2 months ago
Shannon-theoretic limits on noisy compressive sampling
In this paper, we study the number of measurements required to recover a sparse signal in M with L nonzero coefficients from compressed samples in the presence of noise. We conside...
Mehmet Akçakaya, Vahid Tarokh
SRDS
1999
IEEE
13 years 11 months ago
Fault-Tolerant Replication Management in Large-Scale Distributed Storage Systems
Failures of all forms happen: from losing single network packets to site-wide disasters. Since businesses rely heavily on their data, it is imperative that failures require minima...
Richard A. Golding, Elizabeth Borowsky
CORR
2011
Springer
200views Education» more  CORR 2011»
13 years 2 months ago
Sequential Analysis in High Dimensional Multiple Testing and Sparse Recovery
—This paper studies the problem of high-dimensional multiple testing and sparse recovery from the perspective of sequential analysis. In this setting, the probability of error is...
Matt Malloy, Robert Nowak
CORR
2011
Springer
214views Education» more  CORR 2011»
12 years 11 months ago
K-Median Clustering, Model-Based Compressive Sensing, and Sparse Recovery for Earth Mover Distance
We initiate the study of sparse recovery problems under the Earth-Mover Distance (EMD). Specifically, we design a distribution over m × n matrices A such that for any x, given A...
Piotr Indyk, Eric Price
ICPR
2006
IEEE
14 years 8 months ago
Automatic Pose Recovery for High-Quality Textures Generation
This paper proposes new techniques to generate high quality textures for urban building models by automatic camera calibration and pose recovery. The camera pose is decomposed int...
Jinhui Hu, Suya You, Ulrich Neumann