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» Density Estimation Using Mixtures of Mixtures of Gaussians
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SADM
2010
141views more  SADM 2010»
13 years 4 months ago
A parametric mixture model for clustering multivariate binary data
: The traditional latent class analysis (LCA) uses a mixture model with binary responses on each subject that are independent conditional on cluster membership. However, in many pr...
Ajit C. Tamhane, Dingxi Qiu, Bruce E. Ankenman
IWCMC
2006
ACM
14 years 3 months ago
System approach to intrusion detection using hidden Markov model
In an era of cooperating ad hoc networks and pervasive wireless connectivity, we are becoming more vulnerable to malicious attacks. Many of these attacks are silent in nature and ...
Rahul Khanna, Huaping Liu
EMNLP
2004
13 years 10 months ago
Unsupervised Domain Relevance Estimation for Word Sense Disambiguation
This paper presents Domain Relevance Estimation (DRE), a fully unsupervised text categorization technique based on the statistical estimation of the relevance of a text with respe...
Alfio Massimiliano Gliozzo, Bernardo Magnini, Carl...
ISBI
2006
IEEE
14 years 10 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
ICASSP
2009
IEEE
14 years 4 months ago
A multistage approach for blind separation of convolutive speech mixtures
In this paper, we propose a novel algorithm for the separation of convolutive speech mixtures using two-microphone recordings, based on the combination of independent component an...
Tariqullah Jan, Wenwu Wang, DeLiang Wang