Discriminant

Known as: Discriminant of a polynomial, B² − 4ac, Discrimant 
In algebra, the discriminant of a polynomial is a function of its coefficients, typically denoted by a capital 'D' or the capital Greek letter Delta… (More)
Wikipedia

Topic mentions per year

Topic mentions per year

1936-2017
020040019362016

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2009
Highly Cited
2009
We propose a biologically inspired framework for visual tracking based on discriminant center surround saliency. At each frame… (More)
  • figure 1
  • figure 2
  • figure 3
  • figure 4
  • figure 5
Is this relevant?
Highly Cited
2007
Highly Cited
2007
This paper develops an unsupervised discriminant projection (UDP) technique for dimensionality reduction of high-dimensional data… (More)
  • figure 1
  • figure 2
  • table 1
  • figure 3
  • figure 5
Is this relevant?
Highly Cited
2007
Highly Cited
2007
The classical hypothesis, that bottom-up saliency is a cent er-surround process, is combined with a more recent hypothesis that… (More)
  • figure 2
  • figure 4
  • figure 5
  • figure 6
  • figure 7
Is this relevant?
Highly Cited
2006
Highly Cited
2006
Different evaluation measures assess different character istics of machine learning algorithms. The empirical evaluation of alg… (More)
  • table 1
  • table 2
  • table 3
  • table 4
  • table 5
Is this relevant?
Highly Cited
2005
Highly Cited
2005
We present a new approach, called local discriminant embedding (LDE), to manifold learning and pattern classification. In our… (More)
  • figure 2
  • figure 1
  • figure 3
  • figure 4
  • table 1
Is this relevant?
Highly Cited
2001
Highly Cited
2001
The extraction of discriminant features is the most fundamental and important problem in face recognition. This paper presents a… (More)
  • figure 1
  • table 1
  • table 2
  • table 3
  • figure 2
Is this relevant?
Highly Cited
2000
Highly Cited
2000
Linear discriminant analysis (LDA) is known to be inappropriate for the case of classes with unequal sample covariances. In… (More)
  • figure 1
  • table 1
  • table 2
Is this relevant?
Highly Cited
1994
Highly Cited
1994
We describe an extension to the \best-basis" method to construct an orthonormal basis which maximizes a class separability for… (More)
Is this relevant?
Highly Cited
1990
Highly Cited
1990
The multilayer perceptron, when trained as a classifier using backpropagation, is shown to approximate the Bayes optimal… (More)
Is this relevant?
Highly Cited
1987
Highly Cited
1987
Issues in the quadratic discriminant functions (QDF) are discussed and two types of modified quadratic disriminant functions… (More)
  • figure 2
  • figure 3
  • table II
  • table I
  • figure 1
Is this relevant?