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» Clustering Multivariate Normal Distributions
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KDD
2003
ACM
109views Data Mining» more  KDD 2003»
16 years 7 months ago
Generative model-based clustering of directional data
High dimensional directional data is becoming increasingly important in contemporary applications such as analysis of text and gene-expression data. A natural model for multivaria...
Arindam Banerjee, Inderjit S. Dhillon, Joydeep Gho...
MA
2010
Springer
135views Communications» more  MA 2010»
15 years 5 months ago
Asymptotic expansion of the minimum covariance determinant estimators
In Cator and Lopuha¨a [3] an asymptotic expansion for the MCD estimators is established in a very general framework. This expansion requires the existence and non-singularity of ...
Eric A. Cator, Hendrik P. Lopuhaä
ICPR
2002
IEEE
16 years 8 days ago
Uniformity Testing Using Minimal Spanning Tree
Testing for uniformity of multivariate data is the initial step in exploratory pattern analysis. We propose a new uniformity testing method, which first computes the maximum (sta...
Anil K. Jain, Xiaowei Xu, Tin Kam Ho, Fan Xiao
ARC
2008
Springer
175views Hardware» more  ARC 2008»
15 years 9 months ago
Multivariate Gaussian Random Number Generator Targeting Specific Resource Utilization in an FPGA
Abstract. Financial applications are one of many fields where a multivariate Gaussian random number generator plays a key role in performing computationally extensive simulations. ...
Chalermpol Saiprasert, Christos-Savvas Bouganis, G...
ISBI
2006
IEEE
16 years 8 months ago
A fast and rigorous anisotropic smoothing method for DT-MRI
Tensors are nowadays an increasing research domain in different areas, especially in image processing, motivated for example by DT-MRI (Diffusion Tensor Magnetic Resonance Imaging...
Carlos A. Castaño-Moraga, Christophe Lengle...