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ESANN
2007
13 years 11 months ago
Bat echolocation modelling using spike kernels with Support Vector Regression
Abstract. From the echoes of their vocalisations bats extract information about the positions of reflectors. To gain an understanding of how target position is translated into neu...
Bertrand Fontaine, Herbert Peremans, Benjamin Schr...
VMV
2004
100views Visualization» more  VMV 2004»
13 years 11 months ago
Vector Quantization Based Data Selection for Hand-Eye Calibration
The paper presents a new vector quantization based approach for selecting well-suited data for hand-eye calibration from a given sequence of hand and eye movements. Data selection...
Jochen Schmidt, Florian Vogt, Heinrich Niemann
NIPS
1998
13 years 11 months ago
Dynamically Adapting Kernels in Support Vector Machines
The kernel-parameter is one of the few tunable parameters in Support Vector machines, controlling the complexity of the resulting hypothesis. Its choice amounts to model selection...
Nello Cristianini, Colin Campbell, John Shawe-Tayl...
ICPR
2010
IEEE
13 years 10 months ago
Adaptive Incremental Learning with an Ensemble of Support Vector Machines
The incremental updating of classifiers implies that their internal parameter values can vary according to incoming data. As a result, in order to achieve high performance, incre...
Marcelo N. Kapp, Robert Sabourin, Patrick Maupin
CORR
2004
Springer
128views Education» more  CORR 2004»
13 years 10 months ago
Vector Symbolic Architectures answer Jackendoff's challenges for cognitive neuroscience
Jackendoff (2002) posed four challenges that linguistic combinatoriality and rules of language present to theories of brain function. The essence of these problems is the question...
Ross W. Gayler