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)

Semantic Scholar uses AI to extract papers important to this topic.

Highly Cited

2009

Highly Cited

2009

- Vijay Mahadevan, Nuno Vasconcelos
- 2009 IEEE Conference on Computer Vision and…
- 2009

We propose a biologically inspired framework for visual tracking based on discriminant center surround saliency. At each frame… (More)

Is this relevant?

Highly Cited

2007

Highly Cited

2007

- Jian Yang, David Zhang, Jingyu Yang, Ben Niu
- IEEE Transactions on Pattern Analysis and Machine…
- 2007

This paper develops an unsupervised discriminant projection (UDP) technique for dimensionality reduction of high-dimensional data… (More)

Is this relevant?

Highly Cited

2007

Highly Cited

2007

- Dashan Gao, Vijay Mahadevan, Nuno Vasconcelos
- NIPS
- 2007

The classical hypothesis, that bottom-up saliency is a cent er-surround process, is combined with a more recent hypothesis that… (More)

Is this relevant?

Highly Cited

2006

Highly Cited

2006

- Marina Sokolova, Nathalie Japkowicz, Stan Szpakowicz
- Australian Conference on Artificial Intelligence
- 2006

Different evaluation measures assess different character istics of machine learning algorithms. The empirical evaluation of alg… (More)

Is this relevant?

Highly Cited

2005

Highly Cited

2005

- Hwann-Tzong Chen, H. W. Chang, Tyng-Luh Liu
- 2005 IEEE Computer Society Conference on Computer…
- 2005

We present a new approach, called local discriminant embedding (LDE), to manifold learning and pattern classification. In our… (More)

Is this relevant?

Highly Cited

2001

Highly Cited

2001

- Zhong Jin, Jingyu Yang, Zhong-Shan Hu, Zhen Lou
- Pattern Recognition
- 2001

The extraction of discriminant features is the most fundamental and important problem in face recognition. This paper presents a… (More)

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)

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

- Dennis W. Ruck, Steven K. Rogers, Matthew Kabrisky, Mark E. Oxley, Bruce W. Suter
- IEEE Trans. Neural Networks
- 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

- Fumitaka Kimura, Kenji Takashina, Shinji Tsuruoka, Yasuji Miyake
- IEEE Transactions on Pattern Analysis and Machine…
- 1987

Issues in the quadratic discriminant functions (QDF) are discussed and two types of modified quadratic disriminant functions… (More)

Is this relevant?