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» Evolving Multilayer Perceptrons
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ICONIP
2007
13 years 9 months ago
Interpretable Piecewise Linear Classifier
In this study we propose a new ensemble model composed of several linear perceptrons. The objective of this study is to build a piecewise-linear classifier that is not only compet...
Pitoyo Hartono
IJON
2007
100views more  IJON 2007»
13 years 7 months ago
A neural network approach to audio-assisted movie dialogue detection
A novel framework for audio-assisted dialogue detection based on indicator functions and neural networks is investigated. An indicator function defines that an actor is present a...
Margarita Kotti, Emmanouil Benetos, Constantine Ko...
ICASSP
2009
IEEE
14 years 2 months ago
Multi-layer ratio Semi-Definite Classifiers
We develop a novel extension to the Ratio Semi-definite Classifier, a discriminative model formulated as a ratio of semi-definite polynomials. By adding a hidden layer to the m...
Jonathan Malkin, Jeff Bilmes
PROCEDIA
2010
105views more  PROCEDIA 2010»
13 years 6 months ago
Improvement of parallelization efficiency of batch pattern BP training algorithm using Open MPI
The use of tuned collective’s module of Open MPI to improve a parallelization efficiency of parallel batch pattern back propagation training algorithm of a multilayer perceptron...
Volodymyr Turchenko, Lucio Grandinetti, George Bos...
ICIP
2008
IEEE
14 years 9 months ago
Local-spectrum-based distinction between handwritten and machine-printed characters
In this paper, we propose a method to distinguish between handwritten and machine-printed characters with no need to locate character or text-line positions. We transform a local ...
Jumpei Koyama, Akira Hirose, Masahiro Kato