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Building networks for image segmentation using particle competition and cooperation
(2017-01-01)
Particle competition and cooperation (PCC) is a graph-based semi-supervised learning approach. When PCC is applied to interactive image segmentation tasks, pixels are converted into network nodes, and each node is connected ...
Analysis of a Cooperative Strategy for a Large Decentralized Wireless Network
(Institute of Electrical and Electronics Engineers, 2014-08)
This paper investigates the benefits of cooperation and proposes a relay activation strategy for a large wireless network with multiple transmitters. In this framework, some nodes cooperate with a nearby node that acts as ...
Neural network-based H(infinity) control for fully actuated and underactuated cooperative manipulators
(PERGAMON-ELSEVIER SCIENCE LTD, 2009)
This paper develops H(infinity) control designs based on neural networks for fully actuated and underactuated cooperative manipulators. The neural networks proposed in this paper only adapt the uncertain dynamics of the ...
Caracterización de las Redes Científicas Interinstitucionales Universidad Pontificia Bolivariana Sede Medellín- Colombia
(Universidad Alberto Hurtado. Facultad de Economía y Negocios, 2014)
Particle Competition and Cooperation in Networks for Semi-Supervised Learning
(IEEE COMPUTER SOCLOS ALAMITOS, 2012)
Semi-supervised learning is one of the important topics in machine learning, concerning with pattern classification where only a small subset of data is labeled. In this paper, a new network-based (or graph-based) ...
Particle Competition and Cooperation in Networks for Semi-Supervised Learning
(Institute of Electrical and Electronics Engineers (IEEE), Computer Soc, 2012-09-01)
Semi-supervised learning is one of the important topics in machine learning, concerning with pattern classification where only a small subset of data is labeled. In this paper, a new network-based (or graph-based) ...