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pro vyhledávání: '"E. Mayoraz"'
Publikováno v:
Discrete Applied Mathematics. 52(2):111-138
This paper is primarily oriented towards discrete mathematics and emphasizes the occurrence of combinatorial problems in the area of artificial neural networks. The focus is on feedforward networks of binary units and their use as associative memorie
Autor:
E. Mayoraz
Publikováno v:
[Proceedings 1992] IJCNN International Joint Conference on Neural Networks.
Quantization of the synaptic weights is a central problem in hardware implementation of artificial neural networks using numerical technology. The author reports on perceptrons performing a particular linear threshold function, called majority functi
Autor:
Anastasios Tefas, Kenneth Jonsson, Josef Bigun, Yongping Li, Constantine Kotropoulos, E. Mayoraz, Josef Kittler, Wulfram Gerstner, Y. Abeljaoued, M. Hamouz, Jiri Matas, Hong Yan, Ioannis Pitas, N. Capdevielle, Fabrizio Smeraldi, S. Ben-Yacoub, Teewoon Tan
Publikováno v:
ICPR
Presents results of the face verification contest that was organized in conjunction with International Conference on Pattern Recognition 2000. Participants had to use identical data sets from a large, publicly available multimodal database XM2VTSDB.
Autor:
Ethem Alpaydin, E. Mayoraz
Publikováno v:
9th International Conference on Artificial Neural Networks: ICANN '99.
A polychotomizer which assigns the input to one of K3 classes is constructed using a set of dichotomizers which assign the input to one of two classes. Defining classes in terms of the dichotomizers is the binary decomposition matrix of size K×L
Publikováno v:
Proceedings. International Conference on Intelligent Systems for Molecular Biology. 3
A method of quantitative comparison of two classifications rules applied to protein folding problem is presented. Classification of proteins based on sequence homology and based on amino acid composition were compared and analyzed according to this a
Publikováno v:
Indonesian Journal of Electrical Engineering & Computer Science; Oct2024, Vol. 36 Issue 1, p657-671, 15p
Autor:
GÖKÇAY, Gönül
Publikováno v:
Journal of Higher Education & Science / Yüksekögretim ve Bilim Dergisi; Aug2024, Vol. 14 Issue 2, p221-231, 11p
Publikováno v:
ICASSP
This paper describes how a speaker verification task can be advantageously decomposed into a series of binary classification problems, i.e. each problem discriminating between two classes only. Each binary classifier is specific to one speaker, one a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cf0dff0e3420662dfed6bfa8e52b9614
https://infoscience.epfl.ch/record/82477
https://infoscience.epfl.ch/record/82477
Publikováno v:
ResearcherID
Describes a new, logic-based methodology for analyzing observations. The key features of this "logical analysis of data" (LAD) methodology are the discovery of minimal sets of features that are necessary for explaining all observations and the detect
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::14b11ff37f946ab4a38addbb84fed657
https://infoscience.epfl.ch/record/82350
https://infoscience.epfl.ch/record/82350
Biometric person identity authentication is gaining more and more attention. The authentication task performed by an expert is a binary classification problem: reject or accept identity claim. Combining experts, each based on a different modality (sp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3abff37d68ad794f917e5525d01a0e11
https://infoscience.epfl.ch/record/82506
https://infoscience.epfl.ch/record/82506