Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Abdenour Bounsiar"'
Autor:
Michael G. Madden, Abdenour Bounsiar
Publikováno v:
2014 International Conference on Information Science & Applications (ICISA).
The task of One-Class Classification (OCC) is to characterise a single class that is well described by the training data and distinguish it from all others; this is in contrast to the more common approach of binary classification or multi-class class
Autor:
Michael G. Madden, Abdenour Bounsiar
Publikováno v:
2014 International Conference on Information Science & Applications (ICISA).
One-class support vector algorithms such as OCSVM and SVDD have been successfully applied to many One-Class Classification (OCC) problems. Many authors assume that kernels like the ones used in standard binary SVM classification are also appropriate
Publikováno v:
Pattern Recognition Letters
Pattern Recognition Letters, Elsevier, 2008, 29 (10), pp.1455-1465. ⟨10.1016/j.patrec.2008.02.025⟩
Pattern Recognition Letters, 2008, 29 (10), pp.1455-1465. ⟨10.1016/j.patrec.2008.02.025⟩
Pattern Recognition Letters, Elsevier, 2008, 29 (10), pp.1455-1465. ⟨10.1016/j.patrec.2008.02.025⟩
Pattern Recognition Letters, 2008, 29 (10), pp.1455-1465. ⟨10.1016/j.patrec.2008.02.025⟩
International audience; In this paper, the problem of binary classification is studied with one or two performance constraints. When the constraints cannot be satisfied, the initial problem has no solution and an alternative problem is solved by intr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ef63dbbcffd54191c1ad9c71d1b73dde
https://hal-utt.archives-ouvertes.fr/hal-02318274
https://hal-utt.archives-ouvertes.fr/hal-02318274
In this paper we are interested in classification problems with a performance constraint on error probability. In such problems if the constraint cannot be satisfied, then a rejection option is introduced. For binary labelled classification, a number
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::74862d153f9e72da16e4addcdd963b74
Publikováno v:
ICASSP (3)
2006 IEEE International Conference on Acoustics Speed and Signal Processing
2006 IEEE International Conference on Acoustics Speed and Signal Processing, May 2006, Toulouse, France. pp.III-784-III-787, ⟨10.1109/ICASSP.2006.1660771⟩
2006 IEEE International Conference on Acoustics Speed and Signal Processing
2006 IEEE International Conference on Acoustics Speed and Signal Processing, May 2006, Toulouse, France. pp.III-784-III-787, ⟨10.1109/ICASSP.2006.1660771⟩
International audience; A formulation for multilabel and performance constraints classification problems is presented within the framework of statistical decision theory. The definition of the problem takes into account three concerns. The first is t
Publikováno v:
2006 IEEE International Conference on Acoustics Speed and Signal Processing
2006 IEEE International Conference on Acoustics Speed and Signal Processing, May 2006, Toulouse, France. pp.V-777-V-780, ⟨10.1109/ICASSP.2006.1661391⟩
ICASSP (5)
2006 IEEE International Conference on Acoustics Speed and Signal Processing, May 2006, Toulouse, France. pp.V-777-V-780, ⟨10.1109/ICASSP.2006.1661391⟩
ICASSP (5)
International audience; Time complexity is a challenge for learning machines. In this paper, a fast training and efficient linear learning machine is presented. Starting from a simple linear classifier, a new one is proposed based on an improvement o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bf9056413b5a9a620034f76c4827c325
https://hal-utt.archives-ouvertes.fr/hal-02317717
https://hal-utt.archives-ouvertes.fr/hal-02317717
Publication in the conference proceedings of EUSIPCO, Florence, Italy, 2006
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9bafcf0fdaf4f8ccdc62d40c50193aa0