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ICASSP
2010
IEEE
13 years 6 months ago
A symmetric adaptive algorithm for speeding-up consensus
Performing distributed consensus in a network has been an important research problem for several years, and is directly applicable to sensor networks, autonomous vehicle formation...
Daniel Thai, Elizabeth Bodine-Baron, Babak Hassibi
CORR
2011
Springer
261views Education» more  CORR 2011»
13 years 2 months ago
Convex and Network Flow Optimization for Structured Sparsity
We consider a class of learning problems regularized by a structured sparsity-inducing norm defined as the sum of 2- or ∞-norms over groups of variables. Whereas much effort ha...
Julien Mairal, Rodolphe Jenatton, Guillaume Obozin...
CVPR
2008
IEEE
14 years 1 months ago
Subspace segmentation with outliers: A grassmannian approach to the maximum consensus subspace
Segmenting arbitrary unions of linear subspaces is an important tool for computer vision tasks such as motion and image segmentation, SfM or object recognition. We segment subspac...
Nuno Pinho da Silva, João Paulo Costeira
PAMI
2011
13 years 2 months ago
Multiview Stereo and Silhouette Consistency via Convex Functionals over Convex Domains
—We propose a convex formulation for silhouette and stereo fusion in 3D reconstruction from multiple images. The key idea is to show that the reconstruction problem can be cast a...
Daniel Cremers, Kalin Kolev
CIMAGING
2010
195views Hardware» more  CIMAGING 2010»
13 years 8 months ago
SPIRAL out of convexity: sparsity-regularized algorithms for photon-limited imaging
The observations in many applications consist of counts of discrete events, such as photons hitting a detector, which cannot be effectively modeled using an additive bounded or Ga...
Zachary T. Harmany, Roummel F. Marcia, Rebecca Wil...