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IDA
2009
Springer
15 years 10 months ago
Probabilistic Factorization of Non-negative Data with Entropic Co-occurrence Constraints
Abstract. In this paper we present a probabilistic algorithm which factorizes non-negative data. We employ entropic priors to additionally satisfy that user specified pairs of fac...
Paris Smaragdis, Madhusudana V. S. Shashanka, Bhik...
TCAD
1998
96views more  TCAD 1998»
15 years 3 months ago
Diagnosis of clustered faults and wafer testing
—A probabilistic diagnosis algorithm is presented for constant degree structures. The performance of the algorithm is analyzed under a negative binomial failure distribution to a...
Kaiyuan Huang, Vinod K. Agarwal, Krishnaiyan Thula...
MMM
2011
Springer
368views Multimedia» more  MMM 2011»
14 years 7 months ago
Correlated PLSA for Image Clustering
Probabilistic Latent Semantic Analysis (PLSA) has become a popular topic model for image clustering. However, the traditional PLSA method considers each image (document) independen...
Peng Li, Jian Cheng, Zechao Li, Hanqing Lu
RECOMB
2001
Springer
16 years 4 months ago
Context-specific Bayesian clustering for gene expression data
The recent growth in genomic data and measurements of genome-wide expression patterns allows us to apply computational tools to examine gene regulation by transcription factors. I...
Yoseph Barash, Nir Friedman
ISBI
2004
IEEE
16 years 4 months ago
A Probabilistic Framework for the Detection and Tracking in Time of Multiple Sclerosis Lesions
A novel statistical scheme for the automatic detection and tracking in time of relapsing-remitting multiple sclerosis (MS) lesions in image sequences is described. Coherent space-...
Allon Shahar, Hayit Greenspan