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» Sparse Recovery Using Sparse Random Matrices
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CVPR
2007
IEEE
15 years 26 days ago
Layered Depth Panoramas
Representations for interactive photorealistic visualization of scenes range from compact 2D panoramas to dataintensive 4D light fields. In this paper, we propose a technique for ...
Ke Colin Zheng, Sing Bing Kang, Michael F. Cohen, ...
ICIP
2009
IEEE
14 years 12 months ago
On The Empirical Rate-distortion Performance Of Compressive Sensing
Compressive Sensing (CS) is a new paradigm in signal acquisition and compression. In compressive sensing, a compressible signal is acquired using much less measurements than the o...
CIMAGING
2009
120views Hardware» more  CIMAGING 2009»
13 years 12 months ago
Dantzig selector homotopy with dynamic measurements
The Dantzig selector is a near ideal estimator for recovery of sparse signals from linear measurements in the presence of noise. It is a convex optimization problem which can be r...
Muhammad Salman Asif, Justin K. Romberg
FOCM
2010
108views more  FOCM 2010»
13 years 9 months ago
Iterative Thresholding Meets Free-Discontinuity Problems
Free-discontinuity problems describe situations where the solution of interest is defined by a function and a lower dimensional set consisting of the discontinuities of the funct...
Massimo Fornasier, Rachel Ward
ICCTA
2007
IEEE
14 years 2 months ago
What Graphs can be Efficiently Represented by BDDs?
We have carried out experimental research into implicit representation of large graphs using reduced ordered binary decision diagrams (OBDDs). We experimentally show that for grap...
Changxing Dong, Paul Molitor