المؤلفون: Shufeng Liang, Xin Zhang, Hulin Zhao, Yuanyuan Dang, Rui Hui, Jianning Zhang

المصدر: IEEE Access, Vol 12, Pp 106567-106578 (2024)

مصطلحات موضوعية: Brain signals, epilepsy, deep learning, discrete representation, EEG, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

وصف الملف: electronic resource

Relation: https://ieeexplore.ieee.org/document/10599492/; https://doaj.org/toc/2169-3536

URL الوصول: https://doaj.org/article/c262c89df5a541f3a2e108b9bfa0befa

المؤلفون: Houfar, Khamis, Samai, Djamel, Dornaika, Fadi, Benlamoudi, Azeddine, Bensid, Khaled, Taleb-Ahmed, Abdelmalik

المساهمون: Université Kasdi Merbah Ouargla, Universitat Autònoma de Barcelona = Autonomous University of Barcelona = Universidad Autónoma de Barcelona (UAB), Ikerbasque - Basque Foundation for Science, Universidad del País Vasco Espainia / Euskal Herriko Unibertsitatea España = University of the Basque Country Spain = Université du pays basque Espagne (UPV / EHU), Center for Machine Vision Research (CMV), University of Oulu, Institut d’Électronique, de Microélectronique et de Nanotechnologie - UMR 8520 (IEMN), Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Université Polytechnique Hauts-de-France (UPHF)-JUNIA (JUNIA), Université catholique de Lille (UCL)-Université catholique de Lille (UCL), COMmunications NUMériques - IEMN (COMNUM - IEMN), INSA Institut National des Sciences Appliquées Hauts-de-France (INSA Hauts-De-France), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Institut d’Électronique, de Microélectronique et de Nanotechnologie - UMR 8520 (IEMN), Université catholique de Lille (UCL)-Université catholique de Lille (UCL)-Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Université Polytechnique Hauts-de-France (UPHF)-JUNIA (JUNIA), Université Polytechnique Hauts-de-France (UPHF), The authors gratefully acknowledge the Directorate General for Scientific Research and Technological Development (DGRSDT) of Algeria for the financial support to this work. This work is part of the grant PID2021-126701OB-I00 funded by MCIN/AEI/10.13039/501100011033 and by ERDF A way of making Europe.

المصدر: ISSN: 0031-3203 ; Pattern Recognition ; https://hal.science/hal-03949422 ; Pattern Recognition, 2023, 137, pp.109281. ⟨10.1016/j.patcog.2022.109281⟩.

مصطلحات موضوعية: Multi-view clustering, Large scale, Anchors, Discrete representation, BD-FFT, [SPI]Engineering Sciences [physics]

الاتاحة: https://hal.science/hal-03949422
https://hal.science/hal-03949422v1/document
https://hal.science/hal-03949422v1/file/Khamis%20Houfar_PatternRecognition_2023.pdf
https://doi.org/10.1016/j.patcog.2022.109281

المؤلفون: Ambrus, GERGELY, Barany, IMRE, Frankl, PETER, Varga, DANIEL

المصدر: SIAM Journal on Discrete Mathematics , 37 (3) pp. 1457-1471. (2023)

مصطلحات موضوعية: Science & Technology, Physical Sciences, Mathematics, Applied, cells in a lattice, lines, discrete plank problems, DISCRETE REPRESENTATION, ALGORITHM

وصف الملف: application/pdf

Relation: https://discovery.ucl.ac.uk/id/eprint/10186957/1/21m146048x.pdf; https://discovery.ucl.ac.uk/id/eprint/10186957/

الاتاحة: https://discovery.ucl.ac.uk/id/eprint/10186957/1/21m146048x.pdf
https://discovery.ucl.ac.uk/id/eprint/10186957/

المؤلفون: Вершков, Олександр Олександрович, Мацулевич, Олександр Євгенович, Тетервак, Ілля Романович, Vershkov, Oleksandr, Matsulevych, Oleksandr, Tetervak, Illia

مصطلحات موضوعية: дискретно представлена крива (ДПК), програмне забезпечення, комп’ютерне моделювання, комп’ютерне дослідження, існуюча модель, розроблена модель, discrete representation curve (DRC), software, computer simulation, computer research, existing model, developed model

وصف الملف: application/pdf

Relation: http://elar.tsatu.edu.ua/handle/123456789/16840

الاتاحة: http://elar.tsatu.edu.ua/handle/123456789/16840

المؤلفون: Verkhoturov, M., Petunin, A., Verkhoturova, G., Zaripov, D.

المصدر: IFAC-PapersOnLine

مصطلحات موضوعية: CNC SHEET CUTTING MACHINES, CONSTRAINTS, DISCRETE REPRESENTATION, THERMAL DEFORMATIONS, TOOL PATH PROBLEM, TSP, CUTTING EQUIPMENT, CNC SHEET CUTTING MACHINE, CONSTRAINT, PATH PROBLEMS, SHEET CUTTING, THERMAL, THERMAL DEFORMATION, TOOLPATHS, CUTTING

وصف الملف: application/pdf

Relation: Verkhoturov, M, Petunin, A, Verkhoturova, G & Zaripov, D 2022, 'Simulating Thermal Sheet Cutting of Figured Parts', IFAC-PapersOnLine, Том. 55, № 10, стр. 595-600. https://doi.org/10.1016/j.ifacol.2022.09.463; Verkhoturov, M., Petunin, A., Verkhoturova, G., & Zaripov, D. (2022). Simulating Thermal Sheet Cutting of Figured Parts. IFAC-PapersOnLine, 55(10), 595-600. https://doi.org/10.1016/j.ifacol.2022.09.463; Final; All Open Access; Bronze Open Access; https://doi.org/10.1016/j.ifacol.2022.09.463; http://elar.urfu.ru/handle/10995/132378; 85144579533; 881681700101

الاتاحة: http://elar.urfu.ru/handle/10995/132378
https://doi.org/10.1016/j.ifacol.2022.09.463

المؤلفون: Adiban M., Stefanov K., Siniscalchi S. M., Salvi G.

المساهمون: Adiban M., Stefanov K., Siniscalchi S.M., Salvi G.

مصطلحات موضوعية: We propose a multi-layer variational autoencoder method, we call HR-VQVAE, that learns hierarchical discrete representations of the data. By utilizing a novel objective function, each layer in HR-VQVAE learns a discrete representation of the residual from previous layers through a vector quantized encoder. Furthermore, the representations at each layer are hierarchically linked to those at previous layers. We evaluate our method on the tasks of image reconstruction and generation. Experimental results demonstrate that the discrete representations learned by HR-VQVAE enable the decoder to reconstruct high-quality images with less distortion than the baseline methods, namely VQVAE and VQVAE-2. HR-VQVAE can also generate high-quality and diverse images that outper- form state-of-the-art generative models, providing further verification of the efficiency of the learned representations. The hierarchical nature of HR-VQVAE i) reduces the decoing search time, making the method particularly suitable for high-load tasks and ii) allows to increase the codebook size without incurring the codebook collapse problem, Settore ING-INF/05 - Sistemi Di Elaborazione Delle Informazioni

Relation: ispartofbook:BMVC 2022 - 33rd British Machine Vision Conference Proceedings; 33rd British Machine Vision Conference Proceedings, BMVC 2022; numberofpages:11; https://hdl.handle.net/10447/637533

الاتاحة: https://hdl.handle.net/10447/637533

المؤلفون: Shlomo Dubnov

المصدر: Algorithms; Volume 15; Issue 12; Pages: 484

مصطلحات موضوعية: symbolic dynamics, discrete representation learning, predictive information bottleneck, variable Markov oracle, music information dynamics

وصف الملف: application/pdf

Relation: Evolutionary Algorithms and Machine Learning; https://dx.doi.org/10.3390/a15120484

الاتاحة: https://doi.org/10.3390/a15120484

المؤلفون: Lin, Chiu-Chou, Chen, Yu-Cheng, Chen, Chien-Hua

المصدر: Transactions on Machine Learning Research, 2024, (2024-08-28)

مصطلحات موضوعية: Video Game, Discrete Representation Learning, Game Balance, Online Games, Artificial Intelligence, Rating System, Counter Relationships

Relation: https://doi.org/10.5281/zenodo.13383406; https://doi.org/10.5281/zenodo.13383407; oai:zenodo.org:13383407

الاتاحة: https://doi.org/10.5281/zenodo.13383407

المؤلفون: Yang, Jianfei, Chen, Xinyan, Zou, Han, Wang, Dazhuo, Xu, Qianwen, 1992, Xie, Lihua

المصدر: IEEE Internet of Things Journal. 9(15):13086-13095

مصطلحات موضوعية: Channel state information, Cloud computing, Deep learning, deep neural network., discrete representation learning, Feature extraction, Internet of Things, multi-task learning, Sensors, Servers, variational auto-encoder, WiFi-based sensing, Wireless fidelity, Automation, Cost effectiveness, Intelligent buildings, Signal encoding, Wi-Fi, Wireless local area networks (WLAN), Auto encoders, Channel-state information, Cloud-computing, Features extraction, Wireless fidelities, Deep neural networks

وصف الملف: print

URL الوصول: https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-316413

المؤلفون: Brusaferri A., Matteucci M., Spinelli S., Vitali A.

المساهمون: Brusaferri, A., Matteucci, M., Spinelli, S., Vitali, A.

مصطلحات موضوعية: Behavior cloning, Deep learning, Discrete representation, Finite state machine, Industrial cyber physical systems, Recurrent neural network

Relation: info:eu-repo/semantics/altIdentifier/wos/WOS:000570127300007; volume:122; firstpage:103263; lastpage:103279; numberofpages:17; journal:COMPUTERS IN INDUSTRY; http://hdl.handle.net/11311/1145658; info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85087073206

الاتاحة: http://hdl.handle.net/11311/1145658
https://doi.org/10.1016/j.compind.2020.103263

المؤلفون: Patricio Davila

المصدر: Information Design Journal. :19-31

مصطلحات موضوعية: Critical practice, Discrete representation, Computer science, Process (engineering), business.industry, Actor–network theory, 05 social sciences, 0507 social and economic geography, 06 humanities and the arts, Library and Information Sciences, 060202 literary studies, Visualization, Information visualization, Human–computer interaction, 0602 languages and literature, Assemblage (archaeology), business, 050703 geography, Critical engagement

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::0bec6b00615a2f01f23f73470d7132ca
https://doi.org/10.1075/idj.23.1.04dav

المؤلفون: Li, Ji, Piwakowski, Bogdan

المساهمون: Nuclear Power Institute of China, Institut d’Électronique, de Microélectronique et de Nanotechnologie - Département Opto-Acousto-Électronique - UMR 8520 (IEMN-DOAE), Institut d’Électronique, de Microélectronique et de Nanotechnologie - UMR 8520 (IEMN), Centrale Lille-Institut supérieur de l'électronique et du numérique (ISEN)-Université de Valenciennes et du Hainaut-Cambrésis (UVHC)-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Université Polytechnique Hauts-de-France (UPHF)-Centrale Lille-Institut supérieur de l'électronique et du numérique (ISEN)-Université de Valenciennes et du Hainaut-Cambrésis (UVHC)-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Université Polytechnique Hauts-de-France (UPHF), Transduction, Propagation et Imagerie Acoustique - IEMN (TPIA - IEMN), Centrale Lille-Institut supérieur de l'électronique et du numérique (ISEN)-Université de Valenciennes et du Hainaut-Cambrésis (UVHC)-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Université Polytechnique Hauts-de-France (UPHF)-Centrale Lille-Institut supérieur de l'électronique et du numérique (ISEN)-Université de Valenciennes et du Hainaut-Cambrésis (UVHC)-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Université Polytechnique Hauts-de-France (UPHF)-Institut d’Électronique, de Microélectronique et de Nanotechnologie - UMR 8520 (IEMN), Centrale Lille-Institut supérieur de l'électronique et du numérique (ISEN)-Université de Valenciennes et du Hainaut-Cambrésis (UVHC)-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Université Polytechnique Hauts-de-France (UPHF)

المصدر: ISSN: 0041-624X.

مصطلحات موضوعية: "Air-coupled transducers", "Discrete representation approach", "Green’s function", "Impulse response", "Lossy media", "Non-contact ultrasonics", [SPI]Engineering Sciences [physics], [PHYS]Physics [physics], [INFO]Computer Science [cs]

الاتاحة: https://hal.science/hal-03143600
https://hal.science/hal-03143600v1/document
https://hal.science/hal-03143600v1/file/S0041624X18303378.pdf
https://doi.org/10.1016/j.ultras.2018.09.003

المؤلفون: Chiu-Chou Lin

المصدر: UAI, Conference in Uncertainty in Artifical Intelligence, July 27th - July 29th, 2021

مصطلحات موضوعية: Playstyle, Video Game, Deep Reinforcement Learning, Discrete Representation Learning, Artificial Intelligence

Relation: https://doi.org/10.5281/zenodo.8191452; https://doi.org/10.5281/zenodo.8191453; oai:zenodo.org:8191453

الاتاحة: https://doi.org/10.5281/zenodo.8191453

المؤلفون: Franco, Ediguer E., Andrade, Marco A. B., Adamowski, Julio C., Buiochi, Flávio

المصدر: Journal of the Brazilian Society of Mechanical Sciences and Engineering. December 2011 33(4)

مصطلحات موضوعية: acoustic field, ultrasonic transducer, array, impulse response, discrete representation method

وصف الملف: text/html

URL الوصول: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1678-58782011000400004

المؤلفون: В.Г. Бабенко, Р.П. Мельник, С.В. Гончар, V.G. Babenko, R.P. Melnyk, S.V. Gonchar

المصدر: Наука і техніка Повітряних Сил Збройних Сил України. — 2015. — № 1(18). 154-156 ; Наука и техника Воздушных Сил Вооруженных Сил Украины. — 2015. — № 1(18). 154-156 ; Science and Technology of the Air Force of Ukraine. — 2015. — № 1(18). 154-156 ; 2223-456X

مصطلحات موضوعية: Розвиток радіотехнічного забезпечення, асу та зв’язку повітряних сил, УДК 004.056.55:004.312.2, захист інформації, криптографічне перетворення, трирозрядна розширена матрична елементарна функція, дискретне представлення, модульно-дискретне представлення, защита информации, криптографическое преобразование, трехразрядная расширенная матричная элементарная функция, дискретное представление, модульно-дискретное представление, information security, cryptographic transformation, three-digit extended matrix elementary function, discrete representation, modular discrete representation

وصف الملف: application/pdf

Relation: http://www.hups.mil.gov.ua/periodic-app/article/767/nitps_2015_1_34.pdf; http://www.hups.mil.gov.ua/periodic-app/article/767

الاتاحة: http://www.hups.mil.gov.ua/periodic-app/article/767

المؤلفون: Florian Mauer

المصدر: Mathematical Statistician and Engineering Applications. 70:44-53

مصطلحات موضوعية: Statistics and Probability, Work (thermodynamics), Pure mathematics, Discrete representation, Laplace transform, Hull, Almost surely, Mathematics

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::2e1bf1bc4dbf4bc4b62e8873a34a0219
https://doi.org/10.17762/msea.v70i2.12

المؤلفون: Karasakal, Esra, Köksalan, Murat

المصدر: Operations Research, 2009 Jan 01. 57(1), 187-199.

URL الوصول: https://www.jstor.org/stable/25614740

المؤلفون: Masataro ASAI, 浅井 政太郎

المصدر: Proceedings of the Annual Conference of JSAI. 2019, :1

المؤلفون: Waltl, Jan

المساهمون: Šivic, Josef, Mirbauer, Martin

مصطلحات موضوعية: motion synthesis|deep learning|discrete representation|autoregressive generation, syntéza pohybu|hluboké učení|diskrétní reprezentace|autoregresivní generování

URL الوصول: https://explore.openaire.eu/search/publication?articleId=od______2186::ac6da96f27cc026f8c3058d94090ad38
http://www.nusl.cz/ntk/nusl-510428

المؤلفون: Waltl, Jan

المساهمون: Šivic, Josef, Mirbauer, Martin

مصطلحات موضوعية: motion synthesis|deep learning|discrete representation|autoregressive generation, syntéza pohybu|hluboké učení|diskrétní reprezentace|autoregresivní generování

وصف الملف: application/pdf; application/zip

Relation: http://hdl.handle.net/20.500.11956/175750; 247608

الاتاحة: https://hdl.handle.net/20.500.11956/175750