Zobrazeno 1 - 10 of 13 pro vyhledávání: '"ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.1: Models/I.5.1.3: Neural nets"'
1
Approximation capability of two hidden layer feedforward neural networks with fixed weights
Autor: Vugar E. Ismailov, Namig J. Guliyev
Publikováno v: Neurocomputing
Neurocomputing, Elsevier, 2018, 316, pp.262-269. ⟨10.1016/j.neucom.2018.07.075⟩
We algorithmically construct a two hidden layer feedforward neural network (TLFN) model with the weights fixed as the unit coordinate vectors of the $d$-dimensional Euclidean space and having $3d+2$ number of hidden neurons in total, which can approx
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::13e655f8b3e92a2aa1c8a2d4b04096d4
https://hal.archives-ouvertes.fr/hal-01856213/document
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2
Recurrent Neural Network-based Fault Detector for Aileron Failures of Aircraft
Autor: Nacim Belkhir, Sinji Suzuki, Nobuyuki Yoshikawa
Publikováno v: ASCC 2017-The 2017 Asian Control Conference
ASCC 2017-The 2017 Asian Control Conference, Dec 2017, Gold Coast, Australia
ASCC
International audience; This paper empirically investigate the design of a fault detection mechanism based on Long Short Term Memory (LSTM) neural network. Given an equation based model that approximate the behavior of aircraft ailerons, the fault de
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c2341050202c441343e515a459ef0d0b
https://hal.inria.fr/hal-01669540/file/ACSS2017.pdf
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3
Connoisseur: classification of styles of Mexican architectural heritage with deep learning and visual attention prediction
Autor: Jenny Benois-Pineau, Mireya Saraí García Vázquez, Abraham Montoya Obeso, Alejandro Álvaro Ramírez Acosta
Publikováno v: Content-Based Multimedia Indexing
Content-Based Multimedia Indexing, Jun 2017, Florence, Italy
CBMI
The automatic description of multimedia content was mainly developed for classification tasks, retrieval systems and massive ordering of data. Preservation of cultural heritage is a field of high importance for application to this method. Our problem
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b5c9318c30416360a1b8b15e7c2dc73e
https://hal.archives-ouvertes.fr/hal-01674958
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4
Classification of sMRI for Alzheimer's disease Diagnosis with CNN: Single Siamese Networks with 2D+ϵ Approach and Fusion on ADNI
Autor: Aderghal, Karim, Benois-Pineau, Jenny, Afdel, Karim
Publikováno v: 2017 ACM International Conference on Multimedia Retrieval
2017 ACM International Conference on Multimedia Retrieval, Jun 2017, Bucharest, Romania
International audience
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::73c33aab7d4a1a7baaa7634ef5cbea22
https://hal.archives-ouvertes.fr/hal-01674964
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6
On the approximation by single hidden layer feedforward neural networks with fixed weights
Autor: Vugar E. Ismailov, Namig J. Guliyev
Publikováno v: Neural Networks
Neural Networks, Elsevier, 2018, 98, pp.296-304. ⟨10.1016/j.neunet.2017.12.007⟩
Feedforward neural networks have wide applicability in various disciplines of science due to their universal approximation property. Some authors have shown that single hidden layer feedforward neural networks (SLFNs) with fixed weights still possess
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::148ee250d940230d1fe624fddf3153bd
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7
FuseMe: Classification of sMRI images by fusion of Deep CNNs in 2D+ϵ projections
Autor: Catheline Gwenaëlle, Karim Afdel, Karim Aderghal, Jenny Benois-Pineau
Publikováno v: Content-based Multimedia Indexing
Content-based Multimedia Indexing, Jun 2017, Florence, Italy
CBMI
The methods of Content-Based visual information indexing and retrieval penetrate into Healthcare and become popular in Computer-Aided Diagnosis. Multimedia in medical images means different imaging modalities, but also multiple views of the same phys
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e59f36cb4e7ee46181d4ed90bdbc14b9
https://hal.archives-ouvertes.fr/hal-01674952
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9
Apprentissage et Contrôle dans les Architectures Neuronales
Autor: Emmanuel Daucé
Publikováno v: Réseau de neurones [cs.NE]. Aix-Marseille Université, 2016
Emmanuel Daucé
The brain, beyond its primary sensori-motor and regulation functions, is an outstanding adaptive system, capable of developping novel responses in novel situations. The principles of machine learning, a fast-developping domain, are at stake for a bet
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::c553b9763c23be6c8e5185e7a9284fd4
https://tel.archives-ouvertes.fr/tel-01264905
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10
Segmentation supervisée d'images texturées par régularisation de graphes
Autor: Faucheux, Cyrille
Publikováno v: Traitement des images [eess.IV]. Université François-Rabelais de Tours, France, 2013. Français
In this thesis, we improve a recent image segmentation algorithm based on a graph regularization process. The goal of this method is to compute an indicator function that satisfies a regularity and a fidelity criteria. Its particularity is to represe
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______2592::ea4dfe1136ecec6c50a44899ee2443bd
https://hal.archives-ouvertes.fr/tel-01131729
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