CVPR
2012
IEEE
11 years 7 months ago
2012
IEEE
Recently sparse representation has been applied to visual tracker by modeling the target appearance using a sparse approximation over a template set, which leads to the so-called ...
STOC
2012
ACM
11 years 7 months ago
2012
ACM
We consider the problem of computing the k-sparse approximation to the discrete Fourier transform of an ndimensional signal. We show: • An O(k log n)-time randomized algorithm f...
DAC
2011
ACM
12 years 4 months ago
2011
ACM
In this paper, a new sparse approximation technique is proposed for incremental power grid analysis. Our proposed method is motivated by the observation that when a power grid net...
ICCV
2011
IEEE
12 years 4 months ago
2011
IEEE
Visual tracking plays an important role in many computer vision tasks. A common assumption in previous methods is that the video frames are blur free. In reality, motion blurs are...
CISS
2011
IEEE
12 years 8 months ago
2011
IEEE
—In this work we address the problem of state estimation in dynamical systems using recent developments in compressive sensing and sparse approximation. We formulate the traditio...
ICASSP
2011
IEEE
12 years 8 months ago
2011
IEEE
We introduce the Multiplicative Update Selector and Estimator (MUSE) algorithm for sparse approximation in underdetermined linear regression problems. Given f = Φα∗ + µ, the ...
CORR
2011
Springer
12 years 11 months ago
2011
Springer
Anisotropic decompositions using representation systems such as curvelets, contourlet, or shearlets have recently attracted significantly increased attention due to the fact that...
ICANN
2007
Springer
13 years 8 months ago
2007
Springer
Abstract. Trained support vector machines (SVMs) have a slow runtime classification speed if the classification problem is noisy and the sample data set is large. Approximating the...
ICIP
2007
IEEE
13 years 11 months ago
2007
IEEE
Practical sparse approximation algorithms (particularly greedy algorithms) suffer two significant drawbacks: they are difficult to implement in hardware, and they are inefficie...
IPSN
2009
Springer
13 years 11 months ago
2009
Springer
This paper exploits recent developments in sparse approximation and compressive sensing to efficiently perform localization in a sensor network. We introduce a Bayesian framework...