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» Data Quality Requirements Analysis and Modeling
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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
137
Voted
ICNSC
2007
IEEE
15 years 10 months ago
Analysis of a Simple Feedback Scheme for Error Correction over a Lossy Network
Abstract— In time varying packet-switched networks, delivering data with high reliability using a limited amount of network resources is highly desirable. To capture the trade-of...
Oscar Flardh, Carlo Fischione, Karl Henrik Johanss...
BMCBI
2005
126views more  BMCBI 2005»
15 years 3 months ago
Integrative analysis of multiple gene expression profiles with quality-adjusted effect size models
Background: With the explosion of microarray studies, an enormous amount of data is being produced. Systematic integration of gene expression data from different sources increases...
Pingzhao Hu, Celia M. T. Greenwood, Joseph Beyene
STOC
2004
ACM
145views Algorithms» more  STOC 2004»
16 years 3 months ago
Using mixture models for collaborative filtering
A collaborative filtering system at an e-commerce site or similar service uses data about aggregate user behavior to make recommendations tailored to specific user interests. We d...
Jon M. Kleinberg, Mark Sandler
99
Voted
ICASSP
2011
IEEE
14 years 7 months ago
A combined linear programming-maximum likelihood approach to radial velocity data analysis for extrasolar planet detection
In this paper we introduce a new technique for estimating the parameters of the Keplerian model commonly used in radial velocity data analysis for extrasolar planet detection. The...
Prabhu Babu, Petre Stoica