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GECCO
2009
Springer
146views Optimization» more  GECCO 2009»
15 years 11 months ago
Using a distance metric to guide PSO algorithms for many-objective optimization
In this paper we propose to use a distance metric based on user-preferences to efficiently find solutions for manyobjective problems. We use a particle swarm optimization (PSO) a...
Upali K. Wickramasinghe, Xiaodong Li
CVPR
2008
IEEE
16 years 7 months ago
Generalised blurring mean-shift algorithms for nonparametric clustering
Gaussian blurring mean-shift (GBMS) is a nonparametric clustering algorithm, having a single bandwidth parameter that controls the number of clusters. The algorithm iteratively sh...
Miguel Á. Carreira-Perpiñán
ICVS
1999
Springer
15 years 9 months ago
Improving 3D Active Visual Tracking
Tracking in 3D with an active vision system depends on the performance of both motor control and vision algorithms. Tracking is performed based on different visual behaviors, name...
João P. Barreto, Paulo Peixoto, Jorge Batis...
HRI
2007
ACM
15 years 9 months ago
Learning by demonstration with critique from a human teacher
Learning by demonstration can be a powerful and natural tool for developing robot control policies. That is, instead of tedious hand-coding, a robot may learn a control policy by ...
Brenna Argall, Brett Browning, Manuela M. Veloso
HIPC
2000
Springer
15 years 8 months ago
A Weight Based Distributed Clustering Algorithm for Mobile ad hoc Networks
In this paper, we propose a distributed clustering algorithm for a multi-hop packet radio network. These types of networks, also known as ad hoc networks, are dynamic in nature due...
Mainak Chatterjee, Sajal K. Das, Damla Turgut