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128
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ICPR
2008
IEEE
15 years 10 months ago
Boosting Gaussian mixture models via discriminant analysis
The Gaussian mixture model (GMM) can approximate arbitrary probability distributions, which makes it a powerful tool for feature representation and classification. However, it su...
Hao Tang, Thomas S. Huang
127
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BIBE
2007
IEEE
155views Bioinformatics» more  BIBE 2007»
15 years 10 months ago
Partial Mixture Model for Tight Clustering in Exploratory Gene Expression Analysis
Abstract—In this paper we demonstrate the inherent robustness of minimum distance estimator that makes it a potentially powerful tool for parameter estimation in gene expression ...
Yinyin Yuan, Chang-Tsun Li
159
Voted
MICCAI
2005
Springer
15 years 9 months ago
Photo-Realistic Tissue Reflectance Modelling for Minimally Invasive Surgical Simulation
Computer-based simulation is an important tool for surgical skills training and assessment. In general, the degree of realism experienced by the trainees is determined by the visua...
Mohamed A. ElHelw, M. Stella Atkins, Marios Nicola...
142
Voted
SDL
2003
147views Hardware» more  SDL 2003»
15 years 5 months ago
Modelling and Evaluation of a Network on Chip Architecture Using SDL
Network on Chip (NoC) is a new paradigm for designing large and complex systems on chips (SoCs). In this paradigm, a packet switched network is provided for on-chip communication. ...
Rickard Holsmark, Magnus Högberg, Shashi Kuma...
EOR
2002
74views more  EOR 2002»
15 years 3 months ago
Modeling multistage cutting stock problems
In multistage cutting stock problems (CSP) the cutting process is distributed over several successive stages. Every stage except the last one produces intermediate products. The l...
Eugene J. Zak