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ICDAR
2007
IEEE
16 years 27 days ago
Multi-Objective Optimization for SVM Model Selection
In this paper, we propose a multi-objective optimization method for SVM model selection using the well known NSGA-II algorithm. FA and FR rates are the two criteria used to find ...
Clément Chatelain, Sébastien Adam, Y...
ICRA
2007
IEEE
159views Robotics» more  ICRA 2007»
16 years 27 days ago
Decoupled Visual Servoing from a set of points imaged by an omnidirectional camera
Abstract— This paper presents a hybrid decoupled visionbased control scheme valid for the entire class of central catadioptric sensors (including conventional perspective cameras...
Hicham Hadj-Abdelkader, Youcef Mezouar, Philippe M...
IROS
2007
IEEE
157views Robotics» more  IROS 2007»
16 years 27 days ago
A spatio-temporal probabilistic model for multi-sensor object recognition
— This paper presents a general framework for multi-sensor object recognition through a discriminative probabilistic approach modelling spatial and temporal correlations. The alg...
Bertrand Douillard, Dieter Fox, Fabio T. Ramos
BPM
2007
Springer
162views Business» more  BPM 2007»
16 years 23 days ago
The Predictive Aspect of Business Process Intelligence: Lessons Learned on Bridging IT and Business
This paper presents the arguments for a research proposal on predicting business events in a Business Process Intelligence (BPI) context. The paper argues that BPI holds a potentia...
Moisés Lima Pérez, Charles Mø...
ISNN
2007
Springer
16 years 22 days ago
Neural-Based Separating Method for Nonlinear Mixtures
A neural-based method for source separation in nonlinear mixture is proposed in this paper. A cost function, which consists of the mutual information and partial moments of the out...
Ying Tan