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EJASP
2010
132views more  EJASP 2010»
14 years 10 months ago
Uncovering Transcriptional Regulatory Networks by Sparse Bayesian Factor Model
The problem of uncovering transcriptional regulation by transcription factors (TFs) based on microarray data is considered. A novel Bayesian sparse correlated rectified factor mod...
Jia Meng, Jianqiu Zhang, Yuan (Alan) Qi, Yidong Ch...
ICASSP
2011
IEEE
14 years 7 months ago
Image prediction based on non-negative matrix factorization
This paper presents a novel spatial texture prediction method based on non-negative matrix factorization. As an extension of template matching, approximation based iterative textu...
Mehmet Türkan, Christine Guillemot
DAC
2000
ACM
16 years 4 months ago
On switch factor based analysis of coupled RC interconnects
We revisit a basic element of modern signal integrity analysis, the modeling of worst-case coupling capacitance effects within a switch factor (SF) based methodology. We show that...
Andrew B. Kahng, Sudhakar Muddu, Egino Sarto
COMPLEX
2009
Springer
15 years 10 months ago
A Preliminary Study on the Effects of Fear Factors in Disease Propagation
Upon an outbreak of a dangerous infectious disease, people generally tend to reduce their contacts with others in fear of getting infected. Such typical actions apparently help to ...
Yubo Wang, Jie Hu, Gaoxi Xiao, Limsoon Wong, Stefa...
ICDM
2008
IEEE
115views Data Mining» more  ICDM 2008»
15 years 10 months ago
Toward Faster Nonnegative Matrix Factorization: A New Algorithm and Comparisons
Nonnegative Matrix Factorization (NMF) is a dimension reduction method that has been widely used for various tasks including text mining, pattern analysis, clustering, and cancer ...
Jingu Kim, Haesun Park