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» Learning from Highly Structured Data by Decomposition
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ICCV
2007
IEEE
15 years 4 months ago
Contextual Distance for Data Perception
Structural perception of data plays a fundamental role in pattern analysis and machine learning. In this paper, we develop a new structural perception of data based on local conte...
Deli Zhao, Zhouchen Lin, Xiaoou Tang
SIGIR
1995
ACM
15 years 1 months ago
Noise Reduction in a Statistical Approach to Text Categorization
This paper studies noise reduction for computational efficiency improvements in a statistical learning method for text categorization, the Linear Least Squares Fit (LLSF) mapping...
Yiming Yang
90
Voted
KDD
2007
ACM
231views Data Mining» more  KDD 2007»
15 years 10 months ago
Xproj: a framework for projected structural clustering of xml documents
XML has become a popular method of data representation both on the web and in databases in recent years. One of the reasons for the popularity of XML has been its ability to encod...
Charu C. Aggarwal, Na Ta, Jianyong Wang, Jianhua F...
BMCBI
2006
173views more  BMCBI 2006»
14 years 10 months ago
Kernel-based distance metric learning for microarray data classification
Background: The most fundamental task using gene expression data in clinical oncology is to classify tissue samples according to their gene expression levels. Compared with tradit...
Huilin Xiong, Xue-wen Chen
LREC
2008
111views Education» more  LREC 2008»
14 years 11 months ago
Annotation of Information Structure: an Evaluation across different Types of Texts
We report on the evaluation of information structural annotation according to the Linguistic Information Structure Annotation Guidelines (LISA, (Dipper et al., 2007)). The annotat...
Julia Ritz, Stefanie Dipper, Michael Götze