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» A Novel Framework for Imaging Using Compressed Sensing
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CVPR
2010
IEEE
13 years 10 months ago
Large-Scale Image Retrieval with Compressed Fisher Vectors
The problem of large-scale image search has been traditionally addressed with the bag-of-visual-words (BOV). In this article, we propose to use as an alternative the Fisher kernel...
Florent Perronnin, Yan Liu, Jorge Sanchez, Herve P...
NIPS
2008
13 years 10 months ago
Inferring rankings under constrained sensing
Motivated by applications like elections, web-page ranking, revenue maximization etc., we consider the question of inferring popular rankings using constrained data. More specific...
Srikanth Jagabathula, Devavrat Shah
IPSN
2009
Springer
14 years 3 months ago
Near-optimal Bayesian localization via incoherence and sparsity
This paper exploits recent developments in sparse approximation and compressive sensing to efficiently perform localization in a sensor network. We introduce a Bayesian framework...
Volkan Cevher, Petros Boufounos, Richard G. Barani...
ICIP
2008
IEEE
14 years 10 months ago
Localization of sparse image tampering via random projections
Hashes can be used to provide authentication of multimedia contents. In the case of images, a hash can be used to detect whether the data has been modified in an illegitimate way....
Marco Tagliasacchi, Giuseppe Valenzise, Stefano Tu...
CVPR
2010
IEEE
14 years 1 months ago
Compression of Surface Registration using Beltrami Coefficients
Surface registration is widely used in machine vision and medical imaging, where 1-1 correspondences between surfaces are computed to study their variations. Surface maps are usua...
Lok Ming Lui