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DIS
2005
Springer
13 years 10 months ago
Unit Volume Based Distributed Clustering Using Probabilistic Mixture Model
Keunjoon Lee, Jinu Joo, Jihoon Yang, Sungyong Park
ISBI
2006
IEEE
14 years 5 months ago
Mixture principal component analysis for distribution volume parametric imaging in brain PET studies
In this paper, we present a mixture Principal Component Analysis (mPCA)-based approach for voxel level quantification of dynamic positron emission tomography (PET) data in brain s...
Peng Qiu, Z. Jane Wang, K. J. Ray Liu
NIPS
2001
13 years 6 months ago
Model Based Population Tracking and Automatic Detection of Distribution Changes
Probabilistic mixture models are used for a broad range of data analysis tasks such as clustering, classification, predictive modeling, etc. Due to their inherent probabilistic na...
Igor V. Cadez, Paul S. Bradley
ADAC
2010
124views more  ADAC 2010»
13 years 4 months ago
Comparing partitions of two sets of units based on the same variables
Abstract We propose a procedure based on a latent variable model for the comparison of two partitions of different units described by the same set of variables. The null hypothesis...
Genane Youness, Gilbert Saporta
KDD
2007
ACM
124views Data Mining» more  KDD 2007»
13 years 11 months ago
Hierarchical mixture models: a probabilistic analysis
Mixture models form one of the most widely used classes of generative models for describing structured and clustered data. In this paper we develop a new approach for the analysis...
Mark Sandler