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CVPR
2011
IEEE
14 years 5 months ago
Accelerated Low-Rank Visual Recovery by Random Projection
Exact recovery from contaminated visual data plays an important role in various tasks. By assuming the observed data matrix as the addition of a low-rank matrix and a sparse matri...
Yadong Mu, Jian Dong, Xiaotong Yuan, Shuicheng Yan
ECCV
2010
Springer
15 years 2 months ago
Fast Covariance Computation and Dimensionality Reduction for Sub-Window Features in Images
This paper presents algorithms for efficiently computing the covariance matrix for features that form sub-windows in a large multidimensional image. For example, several image proc...
WWW
2003
ACM
15 years 10 months ago
DOM-based content extraction of HTML documents
Web pages often contain clutter (such as pop-up ads, unnecessary images and extraneous links) around the body of an article that distracts a user from actual content. Extraction o...
Suhit Gupta, Gail E. Kaiser, David Neistadt, Peter...
DOCENG
2005
ACM
14 years 11 months ago
Encapsulating and manipulating component object graphics (COGs) using SVG
Scalable Vector Graphics (SVG) has an imaging model similar to that of PostScript and PDF but the XML basis of SVG allows it to participate fully, via namespaces, in generalised X...
Alexander J. Macdonald, David F. Brailsford, Steve...
ICCV
1999
IEEE
15 years 2 months ago
Principal Manifolds and Bayesian Subspaces for Visual Recognition
We investigate the use of linear and nonlinear principal manifolds for learning low-dimensional representations for visual recognition. Three techniques: Principal Component Analy...
Baback Moghaddam