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» Hierarchical Gaussian process latent variable models
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ICASSP
2011
IEEE
14 years 1 months ago
Use of VTL-wise models in feature-mapping framework to achieve performance of multiple-background models in speaker verification
Recently, Multiple Background Models (M-BMs) [1, 2] have been shown to be useful in speaker verification, where the M-BMs are formed based on different Vocal Tract Lengths (VTLs)...
Achintya Kumar Sarkar, Srinivasan Umesh
FCSC
2010
238views more  FCSC 2010»
14 years 6 months ago
Knowledge discovery through directed probabilistic topic models: a survey
Graphical models have become the basic framework for topic based probabilistic modeling. Especially models with latent variables have proved to be effective in capturing hidden str...
Ali Daud, Juanzi Li, Lizhu Zhou, Faqir Muhammad
MSV
2007
14 years 11 months ago
FMC-QE: A New Approach in Quantitative Modeling
Abstract—Service requests are the origin of every service provisioning process and therefore the entities to be considered first. Similar to Physics and Engineering Sciences, ser...
Werner Zorn
ISBI
2008
IEEE
15 years 10 months ago
Convex analysis and separation of composite signals in DCE-MRI
Dynamic functional imaging promises powerful tools for the visualization and elucidation of important diseasecausing biological processes, where the pixels often represent a compo...
Li Chen, Tsung-Han Chan, Peter L. Choyke, Chong-Yu...

Book
3101views
16 years 8 months ago
Steven Shreve: Stochastic Calculus and Finance
This is a great draft book about stochastic calculus and finance. It covers large number of topics such as Introduction to Probability Theory, Conditional Expectation, Arbitrage Pr...
Prasad Chalasani, Somesh Jha