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ICASSP
2011
IEEE
14 years 11 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...
ICIP
2001
IEEE
16 years 9 months ago
Multiple parametric motion model estimation and segmentation
This paper presents a motion estimation and segmentation algorithm based on multiple parametric model estimation that determines the a priori unknown number of motion models prese...
Filiberto Pla, Raúl Montoliu
WEBDB
2010
Springer
238views Database» more  WEBDB 2010»
15 years 11 months ago
An Agglomerative Query Model for Discovery in Linked Data: Semantics and Approach
Data on the Web is increasingly being used for discovery and exploratory tasks. Unlike traditional fact-finding tasks that require only the typical single-query and response parad...
Sidan Gao, Haizhou Fu, Kemafor Anyanwu
TSP
2011
151views more  TSP 2011»
15 years 2 months ago
Stochastic Models for Sparse and Piecewise-Smooth Signals
Abstract—We introduce an extended family of continuous-domain stochastic models for sparse, piecewise-smooth signals. These are specified as solutions of stochastic differential...
Michael Unser, Pouya Dehghani Tafti
WCRE
2008
IEEE
16 years 1 months ago
SQL2XMI: Reverse Engineering of UML-ER Diagrams from Relational Database Schemas
Data modeling is an essential part of the software development process, and together with application modeling forms the core of the model-driven approach to software engineering....
Manar H. Alalfi, James R. Cordy, Thomas R. Dean