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FUZZIEEE
2007
IEEE
15 years 11 months ago
Learning Fuzzy Linguistic Models from Low Quality Data by Genetic Algorithms
— Incremental rule base learning techniques can be used to learn models and classifiers from interval or fuzzyvalued data. These algorithms are efficient when the observation e...
Luciano Sánchez, José Otero
ICIAP
2007
ACM
15 years 11 months ago
CT-PET Landmark-based Lung Registration Using a Dynamic Breathing Model
This paper deals with the problem of non-linear landmark-based registration of CT (at two different instants of the breathing cycle, intermediate expirations) and PET images of th...
Sylvie Chambon, Antonio Moreno-Ingelmo, Anand P. S...
ROBOCUP
2004
Springer
117views Robotics» more  ROBOCUP 2004»
15 years 10 months ago
Map-Based Multiple Model Tracking of a Moving Object
In this paper we propose an approach for tracking a moving target using Rao-Blackwellised particle filters. Such filters represent posteriors over the target location by a mixtur...
Cody C. T. Kwok, Dieter Fox
124
Voted
VTS
2003
IEEE
89views Hardware» more  VTS 2003»
15 years 10 months ago
Diagnosis of Delay Defects Using Statistical Timing Models
— In this paper, we study the problem of delay defect diagnosis based on statistical timing models. We propose a diagnosis algorithm that can effectively utilize statistical timi...
Angela Krstic, Li-C. Wang, Kwang-Ting Cheng, Jing-...
158
Voted
ERLANG
2003
ACM
15 years 10 months ago
Extending the VoDKA architecture to improve resource modelling
VoDKA is a Video-on-Demand server developed using Erlang/OTP. In this paper, the evolution of the core architecture of the system, designed for improving resource modelling, is de...
Juan José Sánchez Penas, Carlos Abal...