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ICDAR
2007
IEEE
15 years 5 months 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...
92
Voted
ICRA
2007
IEEE
159views Robotics» more  ICRA 2007»
15 years 5 months 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»
15 years 5 months 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»
15 years 5 months 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
15 years 5 months 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