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» Multiplicative Mixture Models for Overlapping Clustering
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CVPR
2005
IEEE
16 years 1 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
BMCBI
2007
147views more  BMCBI 2007»
14 years 11 months ago
Statistical analysis and significance testing of serial analysis of gene expression data using a Poisson mixture model
Background: Serial analysis of gene expression (SAGE) is used to obtain quantitative snapshots of the transcriptome. These profiles are count-based and are assumed to follow a Bin...
Scott D. Zuyderduyn
CLASSIFICATION
2006
108views more  CLASSIFICATION 2006»
14 years 11 months ago
The Practice of Cluster Analysis
Abstracts "Mixtures at the Interface" David Scott, Rice University Mixture modeling provides an effective framework for complex, high-dimensional data. The potential of m...
Jon R. Kettenring
85
Voted
ICIP
2002
IEEE
16 years 1 months ago
Updating mixture of principal components for error concealment
This paper is organized as follows. In Section 2, we formulate the proposed UMPC method for modeling nonstationary and multi-modal data. Both MPC and UPC are shown to be special ca...
Trista Pei-chun Chen, Tsuhan Chen
90
Voted
KDD
2002
ACM
155views Data Mining» more  KDD 2002»
16 years 49 min ago
SyMP: an efficient clustering approach to identify clusters of arbitrary shapes in large data sets
We propose a new clustering algorithm, called SyMP, which is based on synchronization of pulse-coupled oscillators. SyMP represents each data point by an Integrate-and-Fire oscill...
Hichem Frigui