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…

Papers overview

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2015

The Support Vector Data Description (SVDD) has achieved great success in anomaly detection, directly finding the optimal ball…

2013

Though there is considerable progress still there is need to improve accuracy, speed, automation level, adaptablilty towards new…

2012

With the recent raise of fast-growing biological databases, it is essential to develop efficient incremental learning algorithms…

2009

In open set speaker identification it is important to build an alternative model against which to compare scores from the 'target…

2005

The multiband target detection algorithms implemented in hyperspectral imaging systems represent perhaps the most successful…

2004

This paper investigates the use of the ρ-correlation as a measure for classifier diversity to aid in the choice of classifiers…

2003

We present a decision tree based approach to function approximation in reinforcement learning. We compare our approach with table…

2001

In this paper we propose a method to verify the existence of eyeglasses in the frontal face images by support vector machine. The…

1995

Window training, based on an extended form of stochastic approximation, offers a means of producing linear classifiers that…

1988

neme recognition which is characterized by two important properties: 1.) Using a 3 layer arrangement of simple computing units…