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ICA
2007
Springer
15 years 10 months ago
Conjugate Gamma Markov Random Fields for Modelling Nonstationary Sources
In modelling nonstationary sources, one possible strategy is to define a latent process of strictly positive variables to model variations in second order statistics of the underly...
Ali Taylan Cemgil, Onur Dikmen
CSB
2004
IEEE
115views Bioinformatics» more  CSB 2004»
15 years 10 months ago
PoPS: A Computational Tool for Modeling and Predicting Protease Specificity
Proteases play a fundamental role in the control of intra- and extracellular processes by binding and cleaving specific amino acid sequences. Identifying these targets is extremel...
Sarah E. Boyd, Maria J. García de la Banda,...
CVPR
2004
IEEE
15 years 10 months ago
Efficient Graphical Models for Processing Images
Graphical models are powerful tools for processing images. However, the large dimensionality of even local image data poses a difficulty: representing the range of possible graphi...
Marshall F. Tappen, Bryan C. Russell, William T. F...
ACCV
2010
Springer
15 years 9 months ago
Identifying Surprising Events in Videos Using Bayesian Topic Models
Automatic processing of video data is essential in order to allow efficient access to large amounts of video content, a crucial point in such applications as video mining and surve...
Avishai Hendel, Daphna Weinshall, Shmuel Peleg
CSDA
2010
165views more  CSDA 2010»
15 years 6 months ago
A two-component Weibull mixture to model early and late mortality in a Bayesian framework
A two component parametric mixture is proposed to model survival after an invasive treatment, when patients may experience different hazards regimes: a risk of early mortality dir...
Alessio Farcomeni, Alessandra Nardi