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ICASSP
2011
IEEE
14 years 1 months ago
On selecting the hyperparameters of the DPM models for the density estimation of observation errors
The Dirichlet Process Mixture (DPM) models represent an attractive approach to modeling latent distributions parametrically. In DPM models the Dirichlet process (DP) is applied es...
Asma Rabaoui, Nicolas Viandier, Juliette Marais, E...
DSRT
2009
IEEE
15 years 4 months ago
Human Flesh Search Model Incorporating Network Expansion and GOSSIP with Feedback
—With the development of on-line forum technology and the pervasive participation of the public, the Human Flesh Search is becoming an arising phenomenon which makes a great impa...
Bing Wang, Bonan Hou, Yiping Yao, Laibin Yan
IJCSA
2007
100views more  IJCSA 2007»
14 years 9 months ago
Using Artificial Neural networks for the modelling of a distillation column
The main aim of this paper is to establish a reliable model both for the steady-state and unsteady-state regimes of a nonlinear process. The use of this model should reflect the t...
Yahya Chetouani
ICDE
2011
IEEE
235views Database» more  ICDE 2011»
14 years 1 months ago
Fast data analytics with FPGAs
—The rapidly increasing amount of data available for real-time analysis (i.e., so-called operational business intelligence) is creating an interesting opportunity for creative ap...
Louis Woods, Gustavo Alonso
CAIP
2007
Springer
217views Image Analysis» more  CAIP 2007»
15 years 4 months ago
Mixture Models Based Background Subtraction for Video Surveillance Applications
— Background subtraction is a method commonly used to segment objects of interest in image sequences. By comparing new frames to a background model, regions of interest can be fo...
Chris Poppe, Gaëtan Martens, Peter Lambert, R...