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» Solving Sparse Linear Constraints
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CORR
2011
Springer
167views Education» more  CORR 2011»
14 years 6 months ago
Fast global convergence of gradient methods for high-dimensional statistical recovery
Many statistical M-estimators are based on convex optimization problems formed by the weighted sum of a loss function with a norm-based regularizer. We analyze the convergence rat...
Alekh Agarwal, Sahand Negahban, Martin J. Wainwrig...
TIP
2011
123views more  TIP 2011»
14 years 6 months ago
Spatial Sparsity-Induced Prediction (SIP) for Images and Video: A Simple Way to Reject Structured Interference
We propose a prediction technique that is geared toward forming successful estimates of a signal based on a correlated anchor signal that is contaminated with complex interference...
Gang Hua, Onur G. Guleryuz
ICCV
2005
IEEE
16 years 1 months ago
Fundamental Matrix for Cameras with Radial Distortion
When deploying a heterogeneous camera network or when we use cheap zoom cameras like in cell-phones, it is not practical, if not impossible to off-line calibrate the radial distor...
João P. Barreto, Kostas Daniilidis
ECCV
2008
Springer
16 years 1 months ago
Perspective Nonrigid Shape and Motion Recovery
We present a closed form solution to the nonrigid shape and motion (NRSM) problem from point correspondences in multiple perspective uncalibrated views. Under the assumption that t...
Richard Hartley, René Vidal
ECCV
2006
Springer
16 years 1 months ago
Direct Solutions for Computing Cylinders from Minimal Sets of 3D Points
Efficient direct solutions for the determination of a cylinder from points are presented. The solutions range from the well known direct solution of a quadric to the minimal soluti...
Christian Beder, Wolfgang Förstner