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» Enhancing Text Analysis via Dimensionality Reduction
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CORR
2010
Springer
189views Education» more  CORR 2010»
13 years 6 months ago
Robust PCA via Outlier Pursuit
Singular Value Decomposition (and Principal Component Analysis) is one of the most widely used techniques for dimensionality reduction: successful and efficiently computable, it ...
Huan Xu, Constantine Caramanis, Sujay Sanghavi
NIPS
2004
13 years 9 months ago
Euclidean Embedding of Co-Occurrence Data
Embedding algorithms search for low dimensional structure in complex data, but most algorithms only handle objects of a single type for which pairwise distances are specified. Thi...
Amir Globerson, Gal Chechik, Fernando C. Pereira, ...
ICDAR
2007
IEEE
13 years 11 months ago
Towards Explainable Writer Verification and Identification Using Vantage Writers
In this paper, a new method for off-line writer verification and identification is proposed which encodes writer features as a mix of typical handwriting styles, written by so-cal...
Axel Brink, Lambert Schomaker, Marius Bulacu
ICSE
2008
IEEE-ACM
14 years 7 months ago
CCVisu: automatic visual software decomposition
Understanding the structure of large existing (and evolving) software systems is a major challenge for software engineers. In reverse engineering, we aim to compute, for a given s...
Dirk Beyer
WWW
2007
ACM
14 years 8 months ago
Web page classification with heterogeneous data fusion
Web pages are more than text and they contain much contextual and structural information, e.g., the title, the meta data, the anchor text, etc., each of which can be seen as a dat...
Zenglin Xu, Irwin King, Michael R. Lyu