Decision boundary

Known as: Decision surface, Decision surfaces 
In a statistical-classification problem with two classes, a decision boundary or decision surface is a hypersurface that partitions the underlying… (More)
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Topic mentions per year

Topic mentions per year

1962-2017
05019622017

Papers overview

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2018
2018
Deep neural networks (DNNs) are vulnerable to adversarial examples, which are carefully crafted instances aiming to cause… (More)
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2008
2008
In this paper we propose to use decision boundary to analyze classifiers. Two algorithms called decision boundary point set (DBPS… (More)
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2005
2005
Dimensionality reduction is widely accepted as an analysis and modeling tool to deal with high-dimensional spaces, although… (More)
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Highly Cited
2004
Highly Cited
2004
This letter presents some results of an analysis on the decision boundaries of complex-valued neural networks whose weights… (More)
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Highly Cited
2003
Highly Cited
2003
This paper studies the problem of combining region and boundary cues for natural image segmentation. We employ a large database… (More)
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Highly Cited
1997
Highly Cited
1997
In this paper, we propose a new feature extraction method for feedforward neural networks. The method is based on the recently… (More)
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Highly Cited
1995
Highly Cited
1995
We report a novel possibility for extracting a small subset of a data base which contains all the information necessary to solve… (More)
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Highly Cited
1993
Highly Cited
1993
This material is posted here with permission of the IEEE. Internal or personal use of this material is permitted. However… (More)
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1993
1993
Feature extraction has long been an important topic in pattern recognition. Although many authors have studied feature extraction… (More)
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Highly Cited
1992
Highly Cited
1992
A training algorithm that maximizes the margin between the training patterns and the decision boundary is presented. The… (More)
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