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» On sparse signal representations
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INTERSPEECH
2010
15 years 1 months ago
Towards a robust face recognition system using compressive sensing
An application of compressive sensing (CS) theory in imagebased robust face recognition is considered. Most contemporary face recognition systems suffer from limited abilities to ...
Allen Y. Yang, Zihan Zhou, Yi Ma, Shankar Sastry
TIT
2010
100views Education» more  TIT 2010»
15 years 1 months ago
Theoretical and empirical results for recovery from multiple measurements
The joint-sparse recovery problem aims to recover, from sets of compressed measurements, unknown sparse matrices with nonzero entries restricted to a subset of rows. This is an ex...
Ewout van den Berg, Michael P. Friedlander
CVPR
2012
IEEE
13 years 9 months ago
Top-down visual saliency via joint CRF and dictionary learning
Top-down visual saliency facilities object localization by providing a discriminative representation of target objects and a probability map for reducing the search space. In this...
Jimei Yang, Ming-Hsuan Yang
ISBI
2009
IEEE
16 years 1 months ago
Fast Algorithms for Nonconvex Compressive Sensing: MRI Reconstruction from Very Few Data
Compressive sensing is the reconstruction of sparse images or signals from very few samples, by means of solving a tractable optimization problem. In the context of MRI, this can ...
Rick Chartrand
ICCCN
2007
IEEE
16 years 25 days ago
Evaluation of Mesh-Enhanced VANET Deployment Models
—While wireless vehicular ad hoc networks (VANETs) are attracting greater commercial interest, current research has not adequately captured the real-world urban constraints in VA...
Niranjan Potnis, Atulya Mahajan, Kartik Gopalan, A...