We describe a high-performance neural network that, in addition to classifying the query, allows the user to visualize the relationship between the query and ...
We describe a high-performance neural network that in addition to classifying the query, allows the user to visualize the relationship between the query and the ...
The visual neural classifier provides a means of classifier design by allowing designers to visualize relationships between data points and also the ...
The visual neural classifier is formed from a set of experts and a visualization network. Visualization is accomplished by a funnel-shaped multilayer ...
Apr 3, 2023 · Dr. James McCaffrey of Microsoft Research says a neural network model is arguably the most powerful multi-class classification technique.
A visual neural classifier (1998) | C. Ornes | 55 Citations - Typeset.io
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Abstract: A new neural classifier allows visualization of the training set and decision regions, providing benefits for both the designer and the user.
The authors discuss the potential of artificial neural networks for automating expert visual classifications undertaken in the marine sciences.
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Jan 12, 2021 · We propose a classification scheme that relies on fusing visual information captured through images depicting the same object from multiple perspectives.
This paper shows how neural modeling and genetic selection can be applied to piecewise-linear structures to optimize both the topology and the parameter ...
Feb 13, 2012 · Our method is the first to achieve near-human performance. On a traffic sign recognition benchmark it outperforms humans by a factor of two.
Missing: classifier. | Show results with:classifier.