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CSDA
2007
264views more  CSDA 2007»
13 years 7 months ago
Model-based methods to identify multiple cluster structures in a data set
Model-based clustering exploits finite mixture models for detecting group in a data set. It provides a sound statistical framework which can address some important issues, such as...
Giuliano Galimberti, Gabriele Soffritti
JSS
2007
67views more  JSS 2007»
13 years 7 months ago
TFRP: An efficient microaggregation algorithm for statistical disclosure control
Recently, the issue of Statistic Disclosure Control (SDC) has attracted much attention. SDC is a very important part of data security dealing with the protection of databases. Micr...
Chin-Chen Chang, Yu-Chiang Li, Wen-Hung Huang
STOC
2010
ACM
195views Algorithms» more  STOC 2010»
13 years 11 months ago
Efficiently Learning Mixtures of Two Gaussians
Given data drawn from a mixture of multivariate Gaussians, a basic problem is to accurately estimate the mixture parameters. We provide a polynomial-time algorithm for this proble...
Adam Tauman Kalai, Ankur Moitra, and Gregory Valia...
ICMLA
2008
13 years 9 months ago
Automated Analysis for Detecting Beams in Laser Wakefield Simulations
Laser wakefield particle accelerators have shown the potential to generate electric fields thousands of times higher than those of conventional accelerators. The resulting extreme...
Daniela Mayumi Ushizima, Oliver Rübel, Prabha...
MICCAI
2009
Springer
14 years 8 months ago
Nonparametric Mean Shift Functional Detection in the Functional Space for Task and Resting-state fMRI
In functional Magnetic Resonance Imaging (fMRI) data analysis, normalization of time series is an important and sometimes necessary preprocessing step in many widely used methods. ...
Jian Cheng, Feng Shi, Kun Wang, Ming Song, Jiefeng...