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» A general algorithm for data dependence analysis
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BMCBI
2008
135views more  BMCBI 2008»
14 years 10 months ago
Using Generalized Procrustes Analysis (GPA) for normalization of cDNA microarray data
Background: Normalization is essential in dual-labelled microarray data analysis to remove nonbiological variations and systematic biases. Many normalization methods have been use...
Huiling Xiong, Dapeng Zhang, Christopher J. Martyn...
KDD
2005
ACM
103views Data Mining» more  KDD 2005»
15 years 3 months ago
Key semantics extraction by dependency tree mining
We propose a new text mining system which extracts characteristic contents from given documents. We define Key semantics as characteristic sub-structures of syntactic dependencie...
Satoshi Morinaga, Hiroki Arimura, Takahiro Ikeda, ...
ANLP
2000
77views more  ANLP 2000»
14 years 11 months ago
A Representation for Complex and Evolving Data Dependencies in Generation
This paper introduces an approach to representing the kinds of information that components in a natural language generation (NLG) system will need to communicate to one another. T...
Chris Mellish, Roger Evans, Lynne J. Cahill, Chris...
IEEEPACT
2006
IEEE
15 years 4 months ago
An empirical evaluation of chains of recurrences for array dependence testing
Code restructuring compilers rely heavily on program analysis techniques to automatically detect data dependences between program statements. Dependences between statement instanc...
Johnnie Birch, Robert A. van Engelen, Kyle A. Gall...
CVPR
2008
IEEE
15 years 12 months ago
A unified framework for generalized Linear Discriminant Analysis
Linear Discriminant Analysis (LDA) is one of the wellknown methods for supervised dimensionality reduction. Over the years, many LDA-based algorithms have been developed to cope w...
Shuiwang Ji, Jieping Ye