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GECCO
2006
Springer
179views Optimization» more  GECCO 2006»
15 years 1 months ago
Parisian evolution with honeybees for three-dimensional reconstruction
This paper introduces a novel analogy with the way in which honeybee colonies operate in order to solve the problem of sparse and quasi dense reconstruction. To successfully solve...
Gustavo Olague, Cesar Puente
PAMI
2010
238views more  PAMI 2010»
14 years 8 months ago
Tracking Motion, Deformation, and Texture Using Conditionally Gaussian Processes
—We present a generative model and inference algorithm for 3D nonrigid object tracking. The model, which we call G-flow, enables the joint inference of 3D position, orientation, ...
Tim K. Marks, John R. Hershey, Javier R. Movellan
EUROGP
1999
Springer
137views Optimization» more  EUROGP 1999»
15 years 2 months ago
Evolving Controllers for Autonomous Agents Using Genetically Programmed Networks
– This article presents a new approach to the evolution of controllers for autonomous agents. We propose the evolution of a connectionist structure where each node has an associa...
Arlindo Silva, Ana Neves, Ernesto Costa
JMLR
2010
106views more  JMLR 2010»
14 years 4 months ago
Why Does Unsupervised Pre-training Help Deep Learning?
Much recent research has been devoted to learning algorithms for deep architectures such as Deep Belief Networks and stacks of auto-encoder variants, with impressive results obtai...
Dumitru Erhan, Yoshua Bengio, Aaron C. Courville, ...
CCR
2000
96views more  CCR 2000»
14 years 9 months ago
Decentralized optimal traffic engineering in the internet
Distributed optimal traffic engineering in the presence of multiple paths has been found to be a difficult problem to solve. In this paper, we introduce a new approach in an attem...
Constantino M. Lagoa, Hao Che