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TDP
2008
67views more  TDP 2008»
13 years 7 months ago
Generating Sufficiency-based Non-Synthetic Perturbed Data
The mean vector and covariance matrix are sufficient statistics when the un derlying distribution is multivariate normal. Many type of statistical analyses used in practice rely on...
Krishnamurty Muralidhar, Rathindra Sarathy
ICCV
2009
IEEE
13 years 5 months ago
Shape analysis with multivariate tensor-based morphometry and holomorphic differentials
In this paper, we propose multivariate tensor-based surface morphometry, a new method for surface analysis, using holomorphic differentials; we also apply it to study brain anatom...
Yalin Wang, Tony F. Chan, Arthur W. Toga, Paul M. ...
IJFCS
2008
49views more  IJFCS 2008»
13 years 7 months ago
A Markovian Approach for the Analysis of the gene Structure
Hidden Markov models (HMMs) are effective tools to detect series of statistically homogeneous structures, but they are not well suited to analyse complex structures. Numerous meth...
Christelle Melo de Lima, Laurent Gueguen, Christia...
KDD
2009
ACM
364views Data Mining» more  KDD 2009»
14 years 8 months ago
Causality quantification and its applications: structuring and modeling of multivariate time series
Time series prediction is an important issue in a wide range of areas. There are various real world processes whose states vary continuously, and those processes may have influenc...
Takashi Shibuya, Tatsuya Harada, Yasuo Kuniyoshi
PKDD
2009
Springer
120views Data Mining» more  PKDD 2009»
14 years 2 months ago
Variational Graph Embedding for Globally and Locally Consistent Feature Extraction
Existing feature extraction methods explore either global statistical or local geometric information underlying the data. In this paper, we propose a general framework to learn fea...
Shuang-Hong Yang, Hongyuan Zha, Shaohua Kevin Zhou...