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CVPR
2008
IEEE
14 years 9 months ago
Robust tensor factorization using R1 norm
Over the years, many tensor based algorithms, e.g. two dimensional principle component analysis (2DPCA), two dimensional singular value decomposition (2DSVD), high order SVD, have...
Heng Huang, Chris H. Q. Ding
TSMC
2008
99views more  TSMC 2008»
13 years 7 months ago
Robust Regularized Kernel Regression
Robust regression techniques are critical to fitting data with noise in real-world applications. Most previous work of robust kernel regression is usually formulated into a dual fo...
Jianke Zhu, Steven C. H. Hoi, Michael R. Lyu
WWW
2006
ACM
14 years 8 months ago
Robust web content extraction
We present an empirical evaluation and comparison of two content extraction methods in HTML: absolute XPath expressions and relative XPath expressions. We argue that the relative ...
Marek Kowalkiewicz, Maria E. Orlowska, Tomasz Kacz...
SIGIR
2012
ACM
11 years 10 months ago
Robust ranking models via risk-sensitive optimization
Many techniques for improving search result quality have been proposed. Typically, these techniques increase average effectiveness by devising advanced ranking features and/or by...
Lidan Wang, Paul N. Bennett, Kevyn Collins-Thompso...
BMVC
1997
13 years 9 months ago
Needle Map Recovery using Robust Regularizers
This article describes how robust error-kernels can be used as smoothness priors in recovering shape-from-shading (SFS). Conventionally, the smoothness error is added to the data-...
Philip L. Worthington, Edwin R. Hancock