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» On multivariate estimation by thresholding
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SDM
2009
SIAM
202views Data Mining» more  SDM 2009»
14 years 6 months ago
Proximity-Based Anomaly Detection Using Sparse Structure Learning.
We consider the task of performing anomaly detection in highly noisy multivariate data. In many applications involving real-valued time-series data, such as physical sensor data a...
Tsuyoshi Idé, Aurelie C. Lozano, Naoki Abe,...
DATE
2009
IEEE
167views Hardware» more  DATE 2009»
14 years 4 months ago
Analyzing the impact of process variations on parametric measurements: Novel models and applications
Abstract—In this paper we propose a novel statistical framework to model the impact of process variations on semiconductor circuits through the use of process sensitive test stru...
Sherief Reda, Sani R. Nassif
ASPDAC
2009
ACM
164views Hardware» more  ASPDAC 2009»
14 years 3 months ago
Accounting for non-linear dependence using function driven component analysis
Majority of practical multivariate statistical analyses and optimizations model interdependence among random variables in terms of the linear correlation among them. Though linear...
Lerong Cheng, Puneet Gupta, Lei He
CAIP
2001
Springer
293views Image Analysis» more  CAIP 2001»
14 years 1 months ago
A Markov Random Field Image Segmentation Model Using Combined Color and Texture Features
In this paper, we propose a Markov random field (MRF) image segmentation model which aims at combining color and texture features. The theoretical framework relies on Bayesian est...
Zoltan Kato, Ting-Chuen Pong
TSP
2008
166views more  TSP 2008»
13 years 9 months ago
A Unifying Discussion of Correlation Analysis for Complex Random Vectors
The assessment of multivariate association between two complex random vectors is considered. A number of correlation coefficients based on three popular correlation analysis techni...
Peter J. Schreier