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CVPR
2012
IEEE
11 years 11 months ago
Probabilistic tensor voting for robust perceptual grouping
We address the problem of unsupervised segmentation and grouping in 2D and 3D space, where samples are corrupted by noise, and in the presence of outliers. The problem has attract...
Dian Gong, Gérard G. Medioni
CORR
2010
Springer
141views Education» more  CORR 2010»
13 years 9 months ago
Full vectoring optimal power allocation in xDSL channels under per-modem power constraints and spectral mask constraints
In xDSL systems, crosstalk can be separated into two categories, namely in-domain crosstalk and out-of-domain crosstalk. Indomain crosstalk is also refered to as self crosstalk. Ou...
Vincent Le Nir, Marc Moonen, Jan Verlinden, Mamoun...
ICIP
2008
IEEE
14 years 11 months ago
Nonconvex compressive sensing and reconstruction of gradient-sparse images: Random vs. tomographic Fourier sampling
Previous compressive sensing papers have considered the example of recovering an image with sparse gradient from a surprisingly small number of samples of its Fourier transform. T...
Rick Chartrand
ICML
2008
IEEE
14 years 10 months ago
Learning to classify with missing and corrupted features
After a classifier is trained using a machine learning algorithm and put to use in a real world system, it often faces noise which did not appear in the training data. Particularl...
Ofer Dekel, Ohad Shamir
CDC
2008
IEEE
126views Control Systems» more  CDC 2008»
14 years 3 months ago
Rendezvous under noisy measurements
— We describe a distributed algorithm for solving the rendezvous problem based on consensus protocols. We extend our previous work by considering the case when the evolution of t...
Carlos H. Caicedo-Nunez, Milos Zefran