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» Mixture models for analysis of melting temperature data
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CVPR
2005
IEEE
15 years 11 months ago
Subspace Analysis Using Random Mixture Models
In [1], three popular subspace face recognition methods, PCA, Bayes, and LDA were analyzed under the same framework and an unified subspace analysis was proposed. However, since t...
Xiaogang Wang, Xiaoou Tang
ICCAD
2001
IEEE
113views Hardware» more  ICCAD 2001»
15 years 6 months ago
Compact Modeling and SPICE-Based Simulation for Electrothermal Analysis of Multilevel ULSI Interconnects
This paper presents both compact analytical models and fast SPICE based 3-D electro-thermal simulation methodology to characterize thermal effects due to Joule heating in high per...
TingYen Chiang, Kaustav Banerjee, Krishna Saraswat
KDD
2006
ACM
175views Data Mining» more  KDD 2006»
15 years 10 months ago
A mixture model for contextual text mining
Contextual text mining is concerned with extracting topical themes from a text collection with context information (e.g., time and location) and comparing/analyzing the variations...
Qiaozhu Mei, ChengXiang Zhai
KDD
2004
ACM
209views Data Mining» more  KDD 2004»
15 years 10 months ago
Tracking dynamics of topic trends using a finite mixture model
In a wide range of business areas dealing with text data streams, including CRM, knowledge management, and Web monitoring services, it is an important issue to discover topic tren...
Satoshi Morinaga, Kenji Yamanishi
ICIP
2000
IEEE
15 years 2 months ago
Modelling Profiles with a Mixture of Gaussians
Point Distribution Models are useful tools for modelling the variability of particular classes of shapes. A common approach is to apply a Principle Component Analysis to the data,...
James Orwell, Darrel Greenhill, Jonathan D. Rymel,...