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CORR
2011
Springer
214views Education» more  CORR 2011»
13 years 13 days ago
K-Median Clustering, Model-Based Compressive Sensing, and Sparse Recovery for Earth Mover Distance
We initiate the study of sparse recovery problems under the Earth-Mover Distance (EMD). Specifically, we design a distribution over m × n matrices A such that for any x, given A...
Piotr Indyk, Eric Price
ICASSP
2011
IEEE
13 years 12 days ago
Low-rank matrix completion by variational sparse Bayesian learning
There has been a significant interest in the recovery of low-rank matrices from an incomplete of measurements, due to both theoretical and practical developments demonstrating th...
S. Derin Babacan, Martin Luessi, Rafael Molina, Ag...
CVPR
2000
IEEE
14 years 1 months ago
A Linear Algorithm for Camera Self-Calibration, Motion and Structure Recovery for Multi-Planar Scenes from Two Perspective Image
In this paper we show that given two homography matrices for two planes in space, there is a linear algorithm for the rotation and translation between the two cameras, the focal l...
Gang Xu, Jun-ichi Terai, Heung-Yeung Shum
ICPR
2008
IEEE
14 years 10 months ago
Beyond SVD: Sparse projections onto exemplar orthonormal bases for compact image representation
We present a new method for compact representation of large image datasets. Our method is based on treating small patches from an image as matrices as opposed to the conventional ...
Ajit Rajwade, Anand Rangarajan, Arunava Banerjee, ...
GBRPR
2009
Springer
14 years 3 months ago
Inexact Matching of Large and Sparse Graphs Using Laplacian Eigenvectors
In this paper we propose an inexact spectral matching algorithm that embeds large graphs on a low-dimensional isometric space spanned by a set of eigenvectors of the graph Laplacia...
David Knossow, Avinash Sharma, Diana Mateus, Radu ...