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SIAMIS
2008
211views more  SIAMIS 2008»
14 years 9 months ago
Sparse and Redundant Modeling of Image Content Using an Image-Signature-Dictionary
Modeling signals by sparse and redundant representations has been drawing considerable attention in recent years. Coupled with the ability to train the dictionary using signal exam...
Michal Aharon, Michael Elad
DIS
2010
Springer
14 years 7 months ago
Sparse Substring Pattern Set Discovery Using Linear Programming Boosting
In this paper, we consider finding a small set of substring patterns which classifies the given documents well. We formulate the problem as 1 norm soft margin optimization problem ...
Kazuaki Kashihara, Kohei Hatano, Hideo Bannai, Mas...
CORR
2011
Springer
153views Education» more  CORR 2011»
14 years 4 months ago
Partially Linear Bayesian Estimation with Application to Sparse Approximations
—We address the problem of estimating a random vector X from two sets of measurements Y and Z, such that the estimator is linear in Y . We show that the partially linear minimum ...
Tomer Michaeli, Daniel Sigalov, Yonina C. Eldar
IJCV
2012
13 years 7 days ago
Sparse Occlusion Detection with Optical Flow
Abstract We tackle the problem of detecting occluded regions in a video stream. Under assumptions of Lambertian reflection and static illumination, the task can be posed as a vari...
Alper Ayvaci, Michalis Raptis, Stefano Soatto
ECCV
2008
Springer
15 years 11 months ago
Scale Invariant Action Recognition Using Compound Features Mined from Dense Spatio-temporal Corners
Abstract. The use of sparse invariant features to recognise classes of actions or objects has become common in the literature. However, features are often "engineered" to...
Andrew Gilbert, John Illingworth, Richard Bowden