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» A Better Fit - Characterising the Stakeholders
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ARTMED
2008
109views more  ARTMED 2008»
13 years 7 months ago
MOPET: A context-aware and user-adaptive wearable system for fitness training
Objective: Cardiovascular disease, obesity, and lack of physical fitness are increasingly common and negatively affect people's health, requiring medical assistance and decre...
Fabio Buttussi, Luca Chittaro
ICML
1998
IEEE
14 years 8 months ago
Bayesian Network Classification with Continuous Attributes: Getting the Best of Both Discretization and Parametric Fitting
In a recent paper, Friedman, Geiger, and Goldszmidt [8] introduced a classifier based on Bayesian networks, called Tree Augmented Naive Bayes (TAN), that outperforms naive Bayes a...
Moisés Goldszmidt, Nir Friedman, Thomas J. ...
WSCG
2004
185views more  WSCG 2004»
13 years 8 months ago
Automatic Fitting and Control of Complex Freeform Shapes in 3-D
In many computer graphics and computer-aided design problems, it is very common to find a smooth and well structured surface to fit a set of unstructured 3-dimensional data. Altho...
Yu Song, Joris S. M. Vergeest, Chensheng Wang
CEC
2010
IEEE
13 years 8 months ago
A mixed strategy for Evolutionary Programming based on local fitness landscape
The performance of Evolutionary Programming (EP) is affected by many factors (e.g. mutation operators and selection strategies). Although the conventional approach with Gaussian mu...
Liang Shen, Jun He
JMIV
2007
98views more  JMIV 2007»
13 years 7 months ago
A Bilinear Approach to the Parameter Estimation of a General Heteroscedastic Linear System, with Application to Conic Fitting
: In this paper, we study the parameter estimation problem in a general heteroscedastic linear system, by putting the problem in the framework of the bilinear approach to low-rank ...
Pei Chen, David Suter