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ICDM
2009
IEEE
181views Data Mining» more  ICDM 2009»
13 years 5 months ago
Efficient Discovery of Frequent Correlated Subgraph Pairs
The recent proliferation of graph data in a wide spectrum of applications has led to an increasing demand for advanced data analysis techniques. In view of this, many graph mining ...
Yiping Ke, James Cheng, Jeffrey Xu Yu
NIPS
2003
13 years 9 months ago
Non-linear CCA and PCA by Alignment of Local Models
We propose a non-linear Canonical Correlation Analysis (CCA) method which works by coordinating or aligning mixtures of linear models. In the same way that CCA extends the idea of...
Jakob J. Verbeek, Sam T. Roweis, Nikos A. Vlassis
ICMCS
2007
IEEE
125views Multimedia» more  ICMCS 2007»
14 years 2 months ago
JPEG Based Conditional Entropy Coding for Correlated Steganography
Correlated steganography considers the case in which the cover Work is chosen to be correlated with the covert message that is to be hidden. The advantage of this is that, at leas...
Lei Zheng, Ingemar J. Cox
ICML
2005
IEEE
14 years 8 months ago
Error bounds for correlation clustering
This paper presents a learning theoretical analysis of correlation clustering (Bansal et al., 2002). In particular, we give bounds on the error with which correlation clustering r...
Thorsten Joachims, John E. Hopcroft
ICPR
2008
IEEE
14 years 2 months ago
Multimodal biometrics fusion using Correlation Filter Bank
In this paper, a novel class-dependence feature analysis method based on Correlation Filter Bank (CFB) technique for effective multimodal biometrics fusion at the feature level is...
Yan Yan, Yu-Jin Zhang