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» Neuro-Wavelet Parametric Modeling
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79
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JOI
2007
56views more  JOI 2007»
15 years 12 days ago
Hirsch's h-index: A stochastic model
We propose a simple stochastic model for an author’s production/citation process in order to investigate the recently proposed hindex for measuring an author’s research output...
Quentin L. Burrell
103
Voted
JMIV
2002
78views more  JMIV 2002»
15 years 5 days ago
A Deformable Template Model, with Special Reference to Elliptical Templates
This paper suggests a high-level continuous image model for planar star-shaped objects. Under this model, a planar object is a stochastic deformation of a star-shaped template. The...
Asger Hobolth, Jan Pedersen, Eva B. Vedel Jensen
112
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INFORMATICALT
2011
112views more  INFORMATICALT 2011»
14 years 7 months ago
The Minimum Density Power Divergence Approach in Building Robust Regression Models
It is well known that in situations involving the study of large datasets where influential observations or outliers maybe present, regression models based on the Maximum Likeliho...
Alessandra Durio, Ennio Davide Isaia
113
Voted
ICASSP
2009
IEEE
15 years 4 months ago
Dirichlet process mixture models with multiple modalities
The Dirichlet process can be used as a nonparametric prior for an infinite-dimensional probability mass function on the parameter space of a mixture model. The set of parameters o...
John William Paisley, Lawrence Carin
131
Voted
CAV
1997
Springer
202views Hardware» more  CAV 1997»
15 years 4 months ago
HYTECH: A Model Checker for Hybrid Systems
A hybrid system is a dynamical system whose behavior exhibits both discrete and continuous change. A hybrid automaton is a mathematical model for hybrid systems, which combines, i...
Thomas A. Henzinger, Pei-Hsin Ho, Howard Wong-Toi