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TSP
2010
13 years 2 months ago
Methods for sparse signal recovery using Kalman filtering with embedded pseudo-measurement norms and quasi-norms
We present two simple methods for recovering sparse signals from a series of noisy observations. The theory of compressed sensing (CS) requires solving a convex constrained minimiz...
Avishy Carmi, Pini Gurfil, Dimitri Kanevsky
ICASSP
2011
IEEE
12 years 12 months ago
Sparse video recovery using Linearly Constrained Gradient Projection
This paper concerns the reconstruction of a temporally-varying scene from a video sequence of noisy linear projections. Assuming that each video frame is sparse or compressible in...
Daniel Thompson, Zachary T. Harmany, Roummel F. Ma...
ICCV
2001
IEEE
14 years 10 months ago
A Novel Modeling Algorithm for Shape Recovery of Unknown Topology
This paper presents a novel modeling algorithm that is capable of simultaneously recovering correct shape geometry as well as its unknown topology from arbitrarily complicated dat...
Ye Duan, Hong Qin
ISCA
2006
IEEE
133views Hardware» more  ISCA 2006»
14 years 2 months ago
TRAP-Array: A Disk Array Architecture Providing Timely Recovery to Any Point-in-time
RAID architectures have been used for more than two decades to recover data upon disk failures. Disk failure is just one of the many causes of damaged data. Data can be damaged by...
Qing Yang, Weijun Xiao, Jin Ren
FGR
2002
IEEE
197views Biometrics» more  FGR 2002»
14 years 1 months ago
Robust Full-Motion Recovery of Head by Dynamic Templates and Re-Registration Techniques
This paper presents a method to recover the full-motion (3 rotations and 3 translations) of the head from an input video using a cylindrical head model. Given an initial reference...
Jing Xiao, Takeo Kanade, Jeffrey F. Cohn