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» Simplifying spline models
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CEC
2010
IEEE
13 years 9 months ago
Functionalization of microarray devices: Process optimization using a multiobjective PSO and multiresponse MARS modeling
An evolutionary approach for the optimization of microarray coatings produced via sol-gel chemistry is presented. The aim of the methodology is to face the challenging aspects of t...
Laura Villanova, Paolo Falcaro, Davide Carta, Iren...
WACV
2005
IEEE
14 years 2 months ago
Isomap and Nonparametric Models of Image Deformation
Isomap is an exemplar of a set of data driven nonlinear dimensionality reduction techniques that have shown promise for the analysis of images and video. These methods parameteriz...
Richard Souvenir, Robert Pless
ACMICEC
2007
ACM
107views ECommerce» more  ACMICEC 2007»
14 years 15 days ago
A family of growth models for representing the price process in online auctions
Bids during an online auction arrive at unequally-spaced discrete time points. Our goal is to capture the entire continuous price-evolution function by representing it as a functi...
Valerie Hyde, Wolfgang Jank, Galit Shmueli
ICPR
2010
IEEE
13 years 10 months ago
Learning Probabilistic Models of Contours
We present a methodology for learning spline-based probabilistic models for sets of contours, proposing a new Monte Carlo variant of the EM algorithm to estimate the parameters of...
Laure Amate, Maria João Rendas
VR
2000
IEEE
164views Virtual Reality» more  VR 2000»
14 years 26 days ago
LoD Management on Animating Face Models
In this paper, we present our work on a level of detail(LoD) technique for human-like face models in virtual environments. Conventional LoD techniques have been adapted to allow f...
Hyewon Seo, Nadia Magnenat-Thalmann