Výsledky vyhledávání - "ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.1: Models/I.5.1.3: Neural nets"

FunnyNet: Audiovisual Learning of Funny Moments in Videos

Autoři: Liu, Zhi-Song Courant, Robin Kalogeiton, Vicky a další

Přispěvatelé: Liu, Zhi-Song Courant, Robin Kalogeiton, Vicky a další

Zdroj: 16th Asian Conference on Computer Vision (ACCV2022)
https://hal.science/hal-03839553
16th Asian Conference on Computer Vision (ACCV2022), Dec 2022, Macau, China

Témata: ACM: I.: Computing Methodologies/I.2: ARTIFICIAL INTELLIGENCE/I.2.10: Vision and Scene Understanding/I.2.10.9: Video analysis, ACM: I.: Computing Methodologies/I.2: ARTIFICIAL INTELLIGENCE/I.2.10: Vision and Scene Understanding, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.1: Models/I.5.1.3: Neural nets, [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI], [INFO]Computer Science [cs], [INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]

Geografické téma: Macau, China

Dostupnost: https://hal.science/hal-03839553
https://hal.science/hal-03839553v1/document
https://hal.science/hal-03839553v1/file/0651.pdf

Recurrent Neural Network-based Fault Detector for Aileron Failures of Aircraft

Autoři: Yoshikawa, Nobuyuki Belkhir, Nacim Suzuki, Sinji a další

Přispěvatelé: Yoshikawa, Nobuyuki Belkhir, Nacim Suzuki, Sinji a další

Zdroj: ASCC 2017 - The 2017 Asian Control Conference ; https://inria.hal.science/hal-01669540 ; ASCC 2017 - The 2017 Asian Control Conference , Dec 2017, Gold Coast, Australia

Témata: ACM: I.: Computing Methodologies/I.2: ARTIFICIAL INTELLIGENCE, ACM: I.: Computing Methodologies/I.2: ARTIFICIAL INTELLIGENCE/I.2.6: Learning, ACM: I.: Computing Methodologies/I.2: ARTIFICIAL INTELLIGENCE/I.2.6: Learning/I.2.6.2: Connectionism and neural nets, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.1: Models/I.5.1.3: Neural nets, [INFO.INFO-NE]Computer Science [cs]/Neural and Evolutionary Computing [cs.NE], [INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG], [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI], [INFO.INFO-SY]Computer Science [cs]/Systems and Control [cs.SY]

Geografické téma: Gold Coast, Australia

Dostupnost: https://inria.hal.science/hal-01669540
https://inria.hal.science/hal-01669540v1/document
https://inria.hal.science/hal-01669540v1/file/ACSS2017.pdf

On the approximation by single hidden layer feedforward neural networks with fixed weights

Autoři: Guliyev, Namig Ismailov, Vugar Institute of Mathematics and Mechanics, Azerbaijan National Academy of Sciences a další

Přispěvatelé: Guliyev, Namig Ismailov, Vugar Institute of Mathematics and Mechanics, Azerbaijan National Academy of Sciences a další

Zdroj: ISSN: 0893-6080 ; Neural Networks ; https://hal.archives-ouvertes.fr/hal-01576061 ; Neural Networks, Elsevier, 2018, 98, pp.296-304. ⟨10.1016/j.neunet.2017.12.007⟩.

Témata: activation function, sigmoidal function, hidden layer, approximation, feedforward neural network, weight, 2010 MSC: 41A30, 41A63, 65D15, 68T05, 92B20, ACM: C.: Computer Systems Organization/C.1: PROCESSOR ARCHITECTURES/C.1.3: Other Architecture Styles/C.1.3.7: Neural nets, ACM: F.: Theory of Computation/F.1: COMPUTATION BY ABSTRACT DEVICES/F.1.1: Models of Computation/F.1.1.4: Self-modifying machines (e.g., neural networks), ACM: I.: Computing Methodologies/I.2: ARTIFICIAL INTELLIGENCE/I.2.6: Learning/I.2.6.2: Connectionism and neural nets, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.1: Models/I.5.1.3: Neural nets, [INFO.INFO-NE]Computer Science [cs]/Neural and Evolutionary Computing [cs.NE], [INFO.INFO-IT]Computer Science [cs]/Information Theory [cs.IT], [MATH.MATH-IT]Mathematics [math]/Information Theory [math.IT], [MATH.MATH-NA]Mathematics [math]/Numerical Analysis [math.NA]

Relation: info:eu-repo/semantics/altIdentifier/arxiv/1708.06219; info:eu-repo/semantics/altIdentifier/pmid/29301110; hal-01576061; https://hal.archives-ouvertes.fr/hal-01576061; https://hal.archives-ouvertes.fr/hal-01576061/document; https://hal.archives-ouvertes.fr/hal-01576061/file/1708.06219.pdf; ARXIV: 1708.06219; PUBMED: 29301110

Dostupnost: https://hal.archives-ouvertes.fr/hal-01576061
https://hal.archives-ouvertes.fr/hal-01576061/document
https://hal.archives-ouvertes.fr/hal-01576061/file/1708.06219.pdf
https://doi.org/10.1016/j.neunet.2017.12.007

Approximation capability of two hidden layer feedforward neural networks with fixed weights

Autoři: Guliyev, Namig Ismailov, Vugar Institute of Mathematics and Mechanics a další

Přispěvatelé: Guliyev, Namig Ismailov, Vugar Institute of Mathematics and Mechanics a další

Zdroj: ISSN: 0925-2312 ; Neurocomputing ; https://hal.archives-ouvertes.fr/hal-01856213 ; Neurocomputing, Elsevier, 2018, 316, pp.262-269. ⟨10.1016/j.neucom.2018.07.075⟩.

Témata: multilayer feedforward neural network, hidden layer, sigmoidal function, activation function, weight, the Kolmogorov superposition theorem, 41A30, 41A63, 65D15, 68T05, 92B20, ACM: C.: Computer Systems Organization/C.1: PROCESSOR ARCHITECTURES/C.1.3: Other Architecture Styles/C.1.3.7: Neural nets, ACM: F.: Theory of Computation/F.1: COMPUTATION BY ABSTRACT DEVICES/F.1.1: Models of Computation/F.1.1.4: Self-modifying machines (e.g., neural networks), ACM: I.: Computing Methodologies/I.2: ARTIFICIAL INTELLIGENCE/I.2.6: Learning/I.2.6.2: Connectionism and neural nets, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.1: Models/I.5.1.3: Neural nets, [INFO.INFO-NE]Computer Science [cs]/Neural and Evolutionary Computing [cs.NE], [INFO.INFO-IT]Computer Science [cs]/Information Theory [cs.IT], [MATH.MATH-IT]Mathematics [math]/Information Theory [math.IT], [MATH.MATH-NA]Mathematics [math]/Numerical Analysis [math.NA]

Relation: hal-01856213; https://hal.archives-ouvertes.fr/hal-01856213; https://hal.archives-ouvertes.fr/hal-01856213/document; https://hal.archives-ouvertes.fr/hal-01856213/file/TLFN.pdf

Dostupnost: https://hal.archives-ouvertes.fr/hal-01856213
https://hal.archives-ouvertes.fr/hal-01856213/document
https://hal.archives-ouvertes.fr/hal-01856213/file/TLFN.pdf
https://doi.org/10.1016/j.neucom.2018.07.075

Visual Content Indexing and Retrieval with Psycho-Visual Models

Autoři: Benois-Pineau, Jenny Le Callet, Patrick Laboratoire des Sciences du Numérique de Nantes (LS2N) a další

Přispěvatelé: Benois-Pineau, Jenny Le Callet, Patrick Laboratoire des Sciences du Numérique de Nantes (LS2N) a další

Zdroj: Visual Content Indexing and Retrieval with Psycho-Visual Models ISBN: 9783319576862

Témata: [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.8: Scene Analysis/I.4.8.3: Object recognition, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.8: Scene Analysis/I.4.8.2: Motion, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.8: Scene Analysis/I.4.8.6: Sensor fusion, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.4: Applications/I.5.4.1: Signal processing, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.1: Models/I.5.1.3: Neural nets, [INFO.INFO-MM]Computer Science [cs]/Multimedia [cs.MM], ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.2: Design Methodology/I.5.2.2: Pattern analysis, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.4: Applications/I.5.4.0: Computer vision, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.8: Scene Analysis/I.4.8.0: Color

Přístupová URL adresa: https://link.springer.com/openurl?id=doi:10.1007/978-3-319-57687-9_1
https://link.springer.com/chapter/10.1007/978-3-319-57687-9_1
https://core.ac.uk/display/146468934
https://dblp.uni-trier.de/db/books/collections/BC2017.html#CalletB17
https://rd.springer.com/chapter/10.1007/978-3-319-57687-9_1
https://hal.archives-ouvertes.fr/hal-01674941

A single hidden layer feedforward network with only one neuron in the hidden layer can approximate any univariate function

Autoři: Guliyev, Namig Ismailov, Vugar Institute of Mathematics and Mechanics, Azerbaijan National Academy of Sciences

Přispěvatelé: Guliyev, Namig Ismailov, Vugar Institute of Mathematics and Mechanics, Azerbaijan National Academy of Sciences

Zdroj: ISSN: 0899-7667.

Témata: Calkin--Wilf sequence, Sigmoidal functions, λ-monotonicity, Bernstein polynomials, Smooth transition function, Continued fractions, 41A30, 65D15, 92B20, ACM: C.: Computer Systems Organization/C.1: PROCESSOR ARCHITECTURES/C.1.3: Other Architecture Styles/C.1.3.7: Neural nets, ACM: F.: Theory of Computation/F.1: COMPUTATION BY ABSTRACT DEVICES/F.1.1: Models of Computation/F.1.1.4: Self-modifying machines (e.g., neural networks), ACM: I.: Computing Methodologies/I.2: ARTIFICIAL INTELLIGENCE/I.2.6: Learning/I.2.6.2: Connectionism and neural nets, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.1: Models/I.5.1.3: Neural nets, [INFO.INFO-NE]Computer Science [cs]/Neural and Evolutionary Computing [cs.NE], [INFO.INFO-IT]Computer Science [cs]/Information Theory [cs.IT], [MATH.MATH-IT]Mathematics [math]/Information Theory [math.IT], [MATH.MATH-NA]Mathematics [math]/Numerical Analysis [math.NA]

Relation: info:eu-repo/semantics/altIdentifier/arxiv/1601.00013; info:eu-repo/semantics/altIdentifier/pmid/27171269; hal-01256489; https://hal.archives-ouvertes.fr/hal-01256489; https://hal.archives-ouvertes.fr/hal-01256489/document; https://hal.archives-ouvertes.fr/hal-01256489/file/sigmoidal_function.pdf; ARXIV: 1601.00013; PUBMED: 27171269

Dostupnost: https://hal.archives-ouvertes.fr/hal-01256489
https://hal.archives-ouvertes.fr/hal-01256489/document
https://hal.archives-ouvertes.fr/hal-01256489/file/sigmoidal_function.pdf
https://doi.org/10.1162/NECO_a_00849

Averaging techniques for single-trial analysis of oddball event-related potentials

Autoři: Liang, Nanying Bougrain, Laurent Neuromimetic intelligence (CORTEX) a další

Přispěvatelé: Liang, Nanying Bougrain, Laurent Neuromimetic intelligence (CORTEX) a další

Zdroj: 4th International Brain-Computer Interface workshop
https://inria.hal.science/inria-00337070
4th International Brain-Computer Interface workshop, Sep 2008, Graz, Austria

Témata: ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.1: Models/I.5.1.3: Neural nets, ACM: J.: Computer Applications/J.3: LIFE AND MEDICAL SCIENCES/J.3.1: Health, [INFO.INFO-NE]Computer Science [cs]/Neural and Evolutionary Computing [cs.NE]

Geografické téma: Graz, Austria

Dostupnost: https://inria.hal.science/inria-00337070
https://inria.hal.science/inria-00337070v1/document
https://inria.hal.science/inria-00337070v1/file/Liang-BCI08.pdf

An Artificial Neural Network Functionalized by Evolution

Autoři: Furfaro, Fabien Bar-Hen, Avner Berthelot, Geoffroy, C.B. a další

Přispěvatelé: Furfaro, Fabien Bar-Hen, Avner Berthelot, Geoffroy, C.B. a další

Zdroj: https://hal.science/hal-03681501 ; 2022.

Témata: ANN, NAS, Evolution, MNIST, Markov Decision Process, ACM: I.: Computing Methodologies/I.2: ARTIFICIAL INTELLIGENCE, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.1: Models/I.5.1.3: Neural nets, [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI], [INFO.INFO-NE]Computer Science [cs]/Neural and Evolutionary Computing [cs.NE]

Relation: info:eu-repo/semantics/altIdentifier/arxiv/2205.10118; ARXIV: 2205.10118

Dostupnost: https://hal.science/hal-03681501

Spatiotemporal pattern coding using Neural Fields: Optimal parameter estimation

Autoři: Cerda, Mauricio Girau, Bernard Neuromimetic intelligence (CORTEX) a další

Přispěvatelé: Cerda, Mauricio Girau, Bernard Neuromimetic intelligence (CORTEX) a další

Zdroj: https://inria.hal.science/inria-00566166 ; [Research Report] RR-7543, INRIA. 2010.

Témata: neural fields, pattern classification, dynamical systems, computational neuroscience, spatiotemporal sequences, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.1: Models/I.5.1.3: Neural nets, ACM: I.: Computing Methodologies/I.2: ARTIFICIAL INTELLIGENCE/I.2.6: Learning/I.2.6.2: Connectionism and neural nets, ACM: I.: Computing Methodologies/I.2: ARTIFICIAL INTELLIGENCE/I.2.10: Vision and Scene Understanding, ACM: I.: Computing Methodologies/I.2: ARTIFICIAL INTELLIGENCE/I.2.10: Vision and Scene Understanding/I.2.10.6: Representations, data structures, and transforms, ACM: I.: Computing Methodologies/I.2: ARTIFICIAL INTELLIGENCE/I.2.10: Vision and Scene Understanding/I.2.10.9: Video analysis, [INFO.INFO-NE]Computer Science [cs]/Neural and Evolutionary Computing [cs.NE]

Dostupnost: https://inria.hal.science/inria-00566166
https://inria.hal.science/inria-00566166v1/document
https://inria.hal.science/inria-00566166v1/file/RR-7543.pdf

FuseMe: Classification of sMRI images by fusion of Deep CNNs in 2D+ϵ projections

Autoři: Aderghal, Karim Benois-Pineau, Jenny Afdel, Karim a další

Přispěvatelé: Aderghal, Karim Benois-Pineau, Jenny Afdel, Karim a další

Zdroj: Content-based Multimedia Indexing ; https://hal.archives-ouvertes.fr/hal-01674952 ; Content-based Multimedia Indexing, Jun 2017, Florence, Italy

Témata: ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.8: Scene Analysis/I.4.8.8: Shape, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.1: Models/I.5.1.3: Neural nets, [INFO.INFO-MM]Computer Science [cs]/Multimedia [cs.MM]

Geografické téma: Florence, Italy

Time: Florence, Italy

Relation: hal-01674952; https://hal.archives-ouvertes.fr/hal-01674952

Dostupnost: https://hal.archives-ouvertes.fr/hal-01674952

Connoisseur: classification of styles of Mexican architectural heritage with deep learning and visual attention prediction

Autoři: Montoya Obeso, Abraham Saraí García Vázquez , Mireya Ramírez Acosta, Alejandro Álvaro a další

Přispěvatelé: Montoya Obeso, Abraham Saraí García Vázquez , Mireya Ramírez Acosta, Alejandro Álvaro a další

Zdroj: Content-Based Multimedia Indexing ; https://hal.archives-ouvertes.fr/hal-01674958 ; Content-Based Multimedia Indexing, Jun 2017, Florence, Italy

Témata: ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.8: Scene Analysis/I.4.8.0: Color, ACM: I.: Computing Methodologies/I.2: ARTIFICIAL INTELLIGENCE/I.2.10: Vision and Scene Understanding, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.1: Models/I.5.1.3: Neural nets, [INFO.INFO-MM]Computer Science [cs]/Multimedia [cs.MM]

Geografické téma: Florence, Italy

Time: Florence, Italy

Relation: hal-01674958; https://hal.archives-ouvertes.fr/hal-01674958

Dostupnost: https://hal.archives-ouvertes.fr/hal-01674958

Classification of sMRI for Alzheimer's disease Diagnosis with CNN: Single Siamese Networks with 2D+ϵ Approach and Fusion on ADNI.

Autoři: Aderghal, Karim Benois-Pineau, Jenny Afdel, Karim a další

Přispěvatelé: Aderghal, Karim Benois-Pineau, Jenny Afdel, Karim a další

Zdroj: 2017 ACM International Conference on Multimedia Retrieval
https://hal.archives-ouvertes.fr/hal-01674964
2017 ACM International Conference on Multimedia Retrieval, Jun 2017, Bucharest, Romania

Témata: ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.8: Scene Analysis/I.4.8.8: Shape, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.1: Models/I.5.1.3: Neural nets, [INFO.INFO-MM]Computer Science [cs]/Multimedia [cs.MM]

Geografické téma: Bucharest, Romania

Relation: hal-01674964; https://hal.archives-ouvertes.fr/hal-01674964

Dostupnost: https://hal.archives-ouvertes.fr/hal-01674964

Prediction of visual attention with deep CNN on artificially degraded videos for studies of attention of patients with Dementia

Autoři: CHAABOUNI, Souad Benois-Pineau, Jenny Tison, François a další

Přispěvatelé: CHAABOUNI, Souad Benois-Pineau, Jenny Tison, François a další

Zdroj: ISSN: 1380-7501.

Témata: ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.8: Scene Analysis, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.1: Models/I.5.1.3: Neural nets, [INFO.INFO-MM]Computer Science [cs]/Multimedia [cs.MM], [INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV], [INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV]

Relation: hal-01674982; https://hal.archives-ouvertes.fr/hal-01674982

Dostupnost: https://hal.archives-ouvertes.fr/hal-01674982

Learning and Control in Neuronal Architectures ; Apprentissage et Contrôle dans les Architectures Neuronales

Autoři: Daucé, Emmanuel École Centrale de Marseille (ECM) Institut de Neurosciences des Systèmes (INS) a další

Přispěvatelé: Daucé, Emmanuel École Centrale de Marseille (ECM) Institut de Neurosciences des Systèmes (INS) a další

Zdroj: https://theses.hal.science/tel-01264905 ; Réseau de neurones [cs.NE]. Aix-Marseille Université, 2016.

Témata: Recurrent Neural Networks, Machine Learning, Hebb Plasticity, Motor Control, Contrôle Moteur, Plasticité de Hebb, Apprentissage Artificiel, Réseaux de Neurones Récurrents, ACM: I.: Computing Methodologies/I.2: ARTIFICIAL INTELLIGENCE/I.2.6: Learning/I.2.6.2: Connectionism and neural nets, ACM: I.: Computing Methodologies/I.2: ARTIFICIAL INTELLIGENCE/I.2.9: Robotics/I.2.9.2: Kinematics and dynamics, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.1: Models/I.5.1.3: Neural nets, [INFO.INFO-NE]Computer Science [cs]/Neural and Evolutionary Computing [cs.NE], [INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG], [INFO.INFO-SY]Computer Science [cs]/Systems and Control [cs.SY], [SDV.NEU]Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC]

Dostupnost: https://theses.hal.science/tel-01264905
https://theses.hal.science/tel-01264905v1/document
https://theses.hal.science/tel-01264905v1/file/HDR-Dauce-Part-I-II.pdf

Modélisation connexionniste du traitement de l'accès lexical et mise en relation avec des données électro-encéphalographiques

Autoři: Bougrain, Laurent Feldmar, Jacques Sidhoum, Enrique a další

Přispěvatelé: Bougrain, Laurent Feldmar, Jacques Sidhoum, Enrique a další

Zdroj: Colloque de l'Association pour la Recherche Cognitive - ARCo'07 : Cognition – Complexité – Collectif ; https://inria.hal.science/inria-00179885 ; Colloque de l'Association pour la Recherche Cognitive - ARCo'07 : Cognition – Complexité – Collectif, ARCo - INRIA - EKOS, Nov 2007, Nancy, France. pp.Poster

Témata: ACM: I.: Computing Methodologies/I.2: ARTIFICIAL INTELLIGENCE/I.2.7: Natural Language Processing/I.2.7.2: Language models, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.1: Models/I.5.1.3: Neural nets, [INFO.INFO-IM]Computer Science [cs]/Medical Imaging, [INFO.INFO-NE]Computer Science [cs]/Neural and Evolutionary Computing [cs.NE], [SDV.NEU.SC]Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC]/Cognitive Sciences

Geografické téma: Nancy, France

Dostupnost: https://inria.hal.science/inria-00179885

Supervised segmentation of textured images by regularization on graphs. ; Segmentation supervisée d'images texturées par régularisation de graphes

Autoři: Faucheux, Cyrille Laboratoire d'Informatique Fondamentale et Appliquée de Tours (LIFAT) Université de Tours (UT)-Institut National des Sciences Appliquées - Centre Val de Loire (INSA CVL) a další

Přispěvatelé: Faucheux, Cyrille Laboratoire d'Informatique Fondamentale et Appliquée de Tours (LIFAT) Université de Tours (UT)-Institut National des Sciences Appliquées - Centre Val de Loire (INSA CVL) a další

Zdroj: https://hal.science/tel-01131729 ; Traitement des images [eess.IV]. Université François-Rabelais de Tours, France, 2013. Français. ⟨NNT : ⟩.

Témata: Image segmentation, Texture analysis, Graphs, Regularization, Supervised Classification, Neural networks, Medical images, 3D images, Segmentation d'images, Analyse de texture, Graph, Régularisation, Classification supervisée, Réseaux de neurones, Images médicales, Images 3D, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.6: Segmentation, ACM: I.: Computing Methodologies/I.2: ARTIFICIAL INTELLIGENCE/I.2.10: Vision and Scene Understanding/I.2.10.8: Texture, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.1: Models/I.5.1.3: Neural nets, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.6: Segmentation/I.4.6.1: Pixel classification, ACM: G.: Mathematics of Computing/G.2: DISCRETE MATHEMATICS/G.2.2: Graph Theory, [INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV], [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing, [INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV], [INFO.INFO-IM]Computer Science [cs]/Medical Imaging, [INFO.INFO-NE]Computer Science [cs]/Neural and Evolutionary Computing [cs.NE]

Dostupnost: https://hal.science/tel-01131729
https://hal.science/tel-01131729v1/document
https://hal.science/tel-01131729v1/file/cyrille.faucheux_phdthesis.pdf