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1Dissertation/ Thesis
المؤلفون: Alizadeh, Milad
المساهمون: Lane, Nic, Gal, Yarin
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2Dissertation/ Thesis
المؤلفون: Gourianov, Nikita
المساهمون: Jaksch, Dieter
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3Dissertation/ Thesis
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4Conference
المساهمون: Universitat Politècnica de Catalunya. Doctorat en Arquitectura de Computadors, Universitat Politècnica de Catalunya. Departament d'Arquitectura de Computadors, Universitat Politècnica de Catalunya. GCO - Grup de Comunicacions Òptiques
مصطلحات موضوعية: Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Telemàtica i xarxes d'ordinadors, Data compression (Computer science), Machine learning, Neural networks (Computer science), Telemetry data, B5G, Compression, Statistical similarity, Auto-encoders, Dades -- Compressió (Informàtica), Aprenentatge automàtic, Xarxes neuronals (Informàtica)
وصف الملف: 4 p.; application/pdf
Relation: https://ieeexplore.ieee.org/document/10207348; info:eu-repo/grantAgreement/EC/HE/101096466/EU/Deep Programmability and Secure Distributed Intelligence for Real-Time End-to-End 6G Networks/DESIRE6G; info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2020-114135RB-I00/ES/AI-POWERED INTENT-BASED PACKET AND OPTICAL TRANSPORT NETWORKS AND EDGE AND CLOUD COMPUTING FOR BEYOND 5G/; El Sayed, A. [et al.]. Comparison of statistical and machine learning-based approaches for telemetry data size reduction. A: International Conference on Transparent Optical Networks. "ICTON 2023: 23rd International Conference on Transparent Optical Networks: 2-6 July 2023, Bucharest, Romania". Institute of Electrical and Electronics Engineers (IEEE), 2023. ISBN 979-8-3503-0303-2. DOI 10.1109/ICTON59386.2023.10207348.; 979-8-3503-0303-2; http://hdl.handle.net/2117/397620
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5Academic Journal
المؤلفون: Escuín Blasco, Carlos, Ibáñez Marín, Pablo, Navarro, Denis, Monreal Arnal, Teresa, Llaberia Griñó, José M., Viñals Yúfera, Victor
المساهمون: Universitat Politècnica de Catalunya. Departament d'Arquitectura de Computadors
مصطلحات موضوعية: Àrees temàtiques de la UPC::Informàtica::Arquitectura de computadors, Data compression (Computer science), Cache memory, Dades -- Compressió (Informàtica), Memòria cau
وصف الملف: 36 p.; application/pdf
Relation: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0278346; info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2019-105660RB-C21/ES/JERARQUIA DE MEMORIA, GESTION DE TAREAS Y OPTIMIZACION DE APLICACIONES/; info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2019-107255GB-C22/ES/UPC-COMPUTACION DE ALTAS PRESTACIONES VIII/; Escuín, C. [et al.]. L2C2: Last-level compressed-contents non-volatile cache and a procedure to forecast performance and lifetime. "PloS one", 7 Febrer 2023, vol. 18, núm. 2, article e0278346, p. 1-36.; http://hdl.handle.net/2117/386455
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6Conference
المساهمون: Universitat Politècnica de Catalunya. Doctorat en Arquitectura de Computadors, Barcelona Supercomputing Center, Universitat Politècnica de Catalunya. CAP - Grup de Computació d'Altes Prestacions
مصطلحات موضوعية: Àrees temàtiques de la UPC::Informàtica::Arquitectura de computadors, Data compression (Computer science), Embedded computer systems, Embedded GPUs, Multi-core, Space compression, Dades -- Compressió (Informàtica), Ordinadors immersos, Sistemes d'
وصف الملف: 5 p.; application/pdf
Relation: http://hdl.handle.net/2117/384002
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7
المؤلفون: Hooda, Reetu
الموضوعات: Data compression (Computer science), Image compression Standards., Données Compression (Informatique), Compression d'images Normes., Data compression (Computer science), Image compression Standards
مصطلحات الفهرس: dissertations., Academic theses, Academic theses., Thèses et écrits académiques.
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8Academic Journal
المؤلفون: Martí, Aniol, Portell de Mora, Jordi, Amblàs Novellas, David, Cabrera Estanyol, Ferran de, Vila Insa, Marc, Riba Sagarra, Jaume, Mitchell, Garrett
المساهمون: Universitat Politècnica de Catalunya. Doctorat en Teoria del Senyal i Comunicacions, Universitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions, Universitat Politècnica de Catalunya. SPCOM - Grup de Recerca de Processament del Senyal i Comunicacions
مصطلحات موضوعية: Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Radiocomunicació i exploració electromagnètica::Teledetecció, Data compression (Computer science), Remote sensing, Multibeam mapping, Multibeam echosounders (MBES), Lossless data compression, Lossy data compression, Water column, Sea imaging, Dades -- Compressió (Informàtica), Teledetecció
وصف الملف: 21 p.; application/pdf
Relation: https://www.mdpi.com/2072-4292/14/9/2063; info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/RTI2018-095076-B-C21/ES/LOS DATOS DE GAIA PARA LAS PROXIMAS DECADAS II/; info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2020-114322RB-I00/ES/IMPACTOS DE LARGO ALCANCE DE LAS CASCADAS DE AGUA DENSA EN EL OCEANO ATLANTICO NORTE Y EL MAR MEDITERRANEO (FAR-DWO)/; info:eu-repo/grantAgreement/EC/H2020/658358/EU/Seabed Imprint of Dense Shelf Water Cascading/SIDEW; info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2019-105717RB-C22/ES/METODOS ROBUSTOS PARA INFERENCIA ESTADISTICA, INTEGRIDAD DE DATOS Y GESTION DE INTERFERENCIA - 2/; Martí, A. [et al.]. Compression of multibeam echosounders bathymetry and water column data. "Remote sensing", 25 Abril 2022, vol. 14, núm. 9, article 2063, p. 1-21.; http://hdl.handle.net/2117/368205
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9Dissertation/ Thesis
المؤلفون: Steinruecken, Christian
مصطلحات موضوعية: 530, Data compression (Computer science)
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10Conference
المؤلفون: Ruiz Ramírez, Marc, Morales López, Javier, Sequeira, Diogo Gonçalo, Velasco Esteban, Luis Domingo
المساهمون: Universitat Politècnica de Catalunya. Departament d'Arquitectura de Computadors, Universitat Politècnica de Catalunya. Doctorat en Enginyeria Electrònica, Universitat Politècnica de Catalunya. Doctorat en Arquitectura de Computadors, Universitat Politècnica de Catalunya. GCO - Grup de Comunicacions Òptiques
مصطلحات موضوعية: Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Telecomunicació òptica, Machine learning, Data compression (Computer science), Optical fiber communication, Measurement, Europe, Predictive models, Data models, Numerical models, Aprenentatge automàtic, Dades -- Compressió (Informàtica), Comunicació per fibra òptica
وصف الملف: 4 p.; application/pdf
Relation: https://ieeexplore.ieee.org/document/9606175; info:eu-repo/grantAgreement/EC/H2020/813144/EU/REAL-time monitoring and mitigation of nonlinear effects in optical NETworks/REAL-NET; info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/TEC2017-90097-R/ES/COGNITIVE 5G APPLICATION-AWARE OPTICAL METRO NETWORKS INTEGRATING MONITORING, DATA ANALYTICS AND OPTIMIZATION/; https://doi.org/10.34810/data146; Ruiz, M. [et al.]. An autoencoder-based solution for IQ constellation analysis. A: European Conference on Optical Communication. "European Conference on Optical Communication, ECOC 2021: Bordeaux, France, September 13-16, 2021". Institute of Electrical and Electronics Engineers (IEEE), 2021, p. 1-4. ISBN 978-1-6654-3868-1. DOI 10.1109/ECOC52684.2021.9606175.; http://hdl.handle.net/2117/361753
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11Academic Journal
المؤلفون: Cappello, Franck, Di, Sheng, Underwood, Robert, Tao, Dingwen, Calhoun, Jon, Kazutomo, Yoshii, Sato, Kento, Singh, Amarjit, Giraud, Luc, Agullo, Emmanuel, Yepes-Arbós, Xavier, Acosta Cobos, Mario César
المساهمون: Universitat Politècnica de Catalunya. Departament d'Arquitectura de Computadors
مصطلحات موضوعية: Àrees temàtiques de la UPC::Informàtica::Arquitectura de computadors, Data compression (Computer science), Lossy compression, Scientific data, Compression for AIGPU acceleration, I/O scheduling, Dades -- Compressió (Informàtica)
وصف الملف: application/pdf
Relation: https://www.sciencedirect.com/science/article/abs/pii/S0167739X24002553; Cappello, F. [et al.]. Multifacets of lossy compression for scientific data in the Joint-Laboratory of Extreme Scale Computing. "Future generation computer systems", 13 Juny 2024.; http://hdl.handle.net/2117/412665
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12Academic Journal
المؤلفون: Naro, Daniel, Delgado Mercè, Jaime, Llorente Viejo, Silvia
المساهمون: Universitat Politècnica de Catalunya. Doctorat en Arquitectura de Computadors, Universitat Politècnica de Catalunya. Departament d'Arquitectura de Computadors, Universitat Politècnica de Catalunya. IMP - Information Modeling and Processing
مصطلحات موضوعية: Àrees temàtiques de la UPC::Informàtica::Seguretat informàtica::Criptografia, Àrees temàtiques de la UPC::Informàtica::Aplicacions de la informàtica::Bioinformàtica, Data encryption (Computer science), Data compression (Computer science), Genomics, Encryption, Genomic information, Information leakage, MPEG-G, Xifratge (Informàtica), Dades -- Compressió (Informàtica), Genòmica
وصف الملف: 20 p.; application/pdf
Relation: https://link.springer.com/article/10.1007%2Fs11042-021-10720-7; info:eu-repo/grantAgreement/MINECO//TEC2015-67774-C2-1-R/ES/SECURE GENOMIC INFORMATION COMPRESSION/; info:eu-repo/grantAgreement/AGAUR/2017 SGR 1749; Naro, D.; Delgado, J.; Llorente, S. Side channel attack on a partially encrypted MPEG-G file. "Multimedia tools and applications", Maig 2021, vol. 80, núm. 3, p. 20599-20618.; http://hdl.handle.net/2117/342757
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13Dissertation/ Thesis
المؤلفون: Gili Fernández De Romarategui, David
المساهمون: Universitat Politècnica de Catalunya. Departament d'Arquitectura de Computadors, Barlet Ros, Pere, Suárez-Varela Maciá, José Rafael
مصطلحات موضوعية: Àrees temàtiques de la UPC::Informàtica::Arquitectura de computadors, Deep learning, Data compression (Computer science), compressió amb aprenentatge profund, codificació entròpica, transformadors, dades de xarxes mòbils, deep learning compression, entropy coding, transformers, mobile network data, Aprenentatge profund, Dades -- Compressió (Informàtica)
وصف الملف: application/pdf
Relation: http://hdl.handle.net/2117/406468; 183323
الاتاحة: http://hdl.handle.net/2117/406468
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14Report
المساهمون: Carlson, Jeffrey
وصف الملف: Medium: ED; Size: 54 p.
URL الوصول: http://www.osti.gov/scitech/servlets/purl/950654
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15Academic Journal
المؤلفون: Hooda, Reetu
المصدر: Dissertations
مصطلحات موضوعية: JBIG2, MPEG-GPCC, Point Cloud Compression, ROI Map Compression, Data compression (Computer science), Image compression--Standards, Video compression--Standards
وصف الملف: application/pdf
Relation: https://louis.uah.edu/uah-dissertations/274; https://louis.uah.edu/context/uah-dissertations/article/1273/viewcontent/hoodareetu_10794.pdf
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16
المؤلفون: Alizadeh, M
المساهمون: Markham, A, Han, S, Lane, N, Gal, Y
مصطلحات موضوعية: Neural networks (Computer science), Image compression, Data compression (Telecommunication), Deep learning (Machine learning), Data compression (Computer science)
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17Dissertation/ Thesis
المؤلفون: Araujo, Isis Ferreira
المساهمون: Oliveira, Rafael Alves Paes de, Souza, Francisco Carlos Monteiro, Lopes, Yuri Kaszubowski
مصطلحات موضوعية: Negócios - Processamento de dados, Administração pública - Processo decisório, Compressão de dados (Computação), Business - Data processing, Public administration - Decision making, Data compression (Computer science), CNPQ::CIENCIAS EXATAS E DA TERRA::CIENCIA DA COMPUTACAO
وصف الملف: application/pdf
Relation: ARAUJO, Isis Ferreira. Cultura orientada por dados e análise de negócios no setor público: uma abordagem para aprimorar a tomada de decisões. 2023. Monografia (Especialização em Tecnologia Python para Negócios) - Universidade Tecnológica Federal do Paraná, Dois Vizinhos, 2023.; http://repositorio.utfpr.edu.br/jspui/handle/1/31599
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18Academic Journal
المؤلفون: Perafán Villota, Juan Carlos, Leno Da Silva, Felipe, Reali Costa, Anna Helena, de Souza Jacomini, Ricardo
المصدر: https://www.sciencedirect.com/science/article/pii/S0262885617301245 ; reponame:Repositorio Institucional UAO.
مصطلحات موضوعية: Data compression (Computer science), Compresión de datos (Computadores), Pairwise registration, RGB-D data, Local descriptors, Keypoint detectors
Time: Universidad Autónoma de Occidente. Calle 25 115-85. Km 2 vía Cali-Jamundí
وصف الملف: application/pdf; 12 páginas
Relation: 124; 113; 69; Villota, J. C. P., da Silva, F. L., de Souza Jacomini, R., & Costa, A. H. R. (2018). Pairwise registration in indoor environments using adaptive combination of 2D and 3D cues. Image and Vision Computing, 69, 113-124; Image and Vision Computing, volumen 69, páginas 113-124, (january, 2018); [1] Z. Xie, S. Xu, X. Li, A high-accuracy method for fine registration of overlapping point clouds, Image Vis. Comput. 28 (4) (2010) 563–570.; [2] P. Henry, M. Krainin, E. Herbst, X. Ren, D. Fox, RGB-D mapping: using Kinect-style depth cameras for dense 3D modeling of indoor environments, Int. J. Robot. Res. 31 (5) (2012) 647–663.; [3] S. Li, A. Calway, RGBD relocalisation using pairwise geometry and concise key point sets, IEEE Int. Conf. Robot. Autom. (ICRA) (2015) 6374–6379.; [4] B.C. Russell, J. Sivic, W.T. Freeman, A. Zisserman, A.a. Efros, Segmenting scenes by matching image composites, Adv. Neural Inf. Proces. Syst. (NIPS) (2009) 1–9.; [5] S. Gupta, P. Arbelaez, R. Girshick, J. Malik, Indoor scene understanding with RGB-D images: bottom-up segmentation, object detection and semantic segmentation, Int. J. Comput. Vis. 112 (2) (2015) 133–149.; [6] T. Shao, W. Xu, K. Zhou, J. Wang, D. Li, B. Guo, An interactive approach to semantic modeling of indoor scenes with an RGBD camera, ACM Trans. Graph 31 (6). (2012)136:1–136:11.; [7] A. Geiger, C. Wang, Joint 3D object and layout inference from a single RGB-D image, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 9358, 2015. pp. 183–195.; [8] M. Firman, D. Thomas, S. Julier, A. sugimoto, Learning to discover objects in RGB-D images using correlation clustering, IEEE International Conference on Intelligent Robots and Systems (IROS), 2013. pp. 1107–1112.; [9] E. Bylow, J. Sturm, C. Kerl, F. Kahl, D. Cremers, Real-time camera tracking and 3D reconstruction using signed distance functions, Robotics: Science and Systems Conference (RSS), 2013.; [10] T. Tykkälä, A.I. Comport, J.K. Kämäräinen, H. Hartikainen, Live RGB-D camera tracking for television production studios, J. Vis. Commun. Image Represent. 25 (1) (2014) 207–217.; [11] V. Morell-Gimenez, M. Saval-Calvo, J. Azorin-Lopez, J. Garcia-Rodriguez, M. Cazola, S. Orts-Escolano, A. Fuster-Guillo, A comparative study of registration methods for RGB-D video of static scenes, Sensors 14 (1) (2014) 8547–8576.; [12] D.G. Lowe, Distinctive image features from scale-invariant keypoints, Int. J. Comput. Vis. 60 (2) (2004) 91–110.; [13] Y. Díez, F. Roure, X. Llado, J. Salvi, A qualitative review on 3D coarse registration methods, ACM Comput. Surv. 47 (3) (2015) 1–36.; [14] M. Fischler, R.C. Bolles, Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography, Commun. ACM 24 (6) (1981) 381–395.; [15] F. Endres, J. Hess, N. Engelhard, J. Sturm, D. Cremers, W. Burgard, An evaluation of the RGB-D SLAM system, IEEE International Conference on Robotics and Automation (ICRA), 2012. pp. 1691–1696.; [16] D. Holz, A.E. Ichim, F. Tombari, R.B. Rusu, S. Behnke, Registration with the point cloud library: a modular framework for aligning in 3-D, IEEE Robot. Autom. Mag. 22 (4) (2015) 110–124.; [17] S.M. Prakhya, U. Qayyum, Sparse depth odometry: 3D keypoint based pose estimation from dense depth data, IEEE International Conference on Robotics and Automation (ICRA), 2015. pp. 4216–4223.; [18] C.-C. Wang, C. Thorpe, S. Thrun, M. Hebert, H. Durrant-Whyte, Simultaneous localization, mapping and moving object tracking, Int. J. Robot. Res. 26 (9) (2007) 889–916. Sage Publications.; [19] A. Aldoma, F. Tombari, L.D. Stefano, M. Vincze, A global hypothesis verification framework for 3D object recognition in clutter, IEEE Trans. Pattern Anal. Mach. Learn 38 (7) (2016) 1383–1396.; [20] J. Xie, Y.-F. Hsu, R.S. Feris, M.-T. Sun, Fine registration of 3D point clouds fusing structural and photometric information using an RGB-D camera, J. Vis. Commun. Image Represent. 32 (1) (2015) 194–204.; [21] P.J. Besl, N.D. McKay, A method for registration of 3-D shapes, IEEE Trans. Pattern Anal. Mach. Learn 14 (2) (1992) 239–256.; [22] H. Kim, A. Hilton, Influence of colour and feature geometry on multi-modal 3D point clouds data registration, 2nd International Conference on 3D Vision, 1, 2014. pp. 202–209.; [23] J.C.P. Villota, A.H.R. Costa, Aligning RGB-D point clouds through adaptive integration of color and depth cues, 12th Latin American Robotics Symposium (LARS), 2015. pp. 309–314.; [24] D.G. Lowe, Object recognition from local scale-invariant features, 7th IEEE International Conference on Computer Vision (ICCV), 2, 1999. pp. 1150–1157.; [25] E. Rosten, R. Porter, T. Drummond, Faster and better: a machine learning approach to corner detection, IEEE Trans. Pattern Anal. Mach. Intell. 32 (1) (2010) 105–119.; [26] M. Calonder, V. Lepetit, P. Fua, Keypoint signatures for fast learning and recognition, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 5302, 2008. pp. 58–71. LNCS.; [27] E. Rublee, V. Rabaud, K. Konolige, G. Bradski, ORB: an efficient alternative to SIFT or SURF, IEEE International Conference on Computer Vision (ICCV), 2011. pp. 2564–2571.; [28] H. Bay, T. Tuytelaars, L.V.a.n. Gool, SURF: speeded up robust features, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 3951, 2006. pp. 404–417. lNCS.; [29] S. Filipe, L.A. Alexandre, A comparative evaluation of 3D keypoint detectors in a RGB-D object dataset, IEEE International Conference on Computer Vision Theory and Applications (VISAPP), 2014. pp. 476–483.; [30] C. Harris, M. Stephens, A combined corner and edge detector, Alvey Vision Conference, 1988. pp. 147–151.; [31] C. Tomasi, T. Kanade, Detection and tracking of point features, Technical Report CMU-CS-91-132, School of Computer Science, Carnegie Mellon University. 1991. pp. 1–22.; [32] A. Flint, A. Dick, A. Van Den Hengel, Thrift: local 3D structure recognition, 9th Biennial Conference of the Australian Pattern Recognition Society, Digital Image Computing Techniques and Applications (DICTA), 2007. pp. 182–188.; [33] S. Smith, J. Brady, SUSANA: a new approach to low level image processing, Int. J. Comput. Vis. 23 (1) (1997) 45–78.; [34] Z. Yu, Intrinsic shape signatures: a shape descriptor for 3D object recognition, IEEE 12th International Conference on Computer Vision Workshops, ICCV Workshops. 2009, pp. 689–696.; [35] M. Desbrun, M. Meyer, P. Schröder, A.H. Barr, Implicit fairing of irregular meses using diffusion and curvature flow, 26th Annual Conference on Computer Graphics and Interactive Techniques (SIGGRAPH), 1999. pp. 317–324.; [36] R.B. Rusu, S. Cousins, 3D is here: point cloud library, IEEE International Conference on Robotics and Automation (ICRA), 2011. pp. 1–4.; [37] B. Steder, R. Rusu, K. Konolige, W. Burgard, NARF: 3D range image features for object recognition, Workshop on Defining and Solving Realistic Perception Problems in Personal Robotics at the IEEE/RSJ Int. Conf. on Intelligent Robots and Systems (IROS), 2010.; [38] T. Fiolka, J. Stuckler, D.A. Klein, D. Schulz, S. Behnke, SURE: surface entropy for distinctive 3D features, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 7463, 2012. pp. 74–93. LNAI.; [39] S. Salti, A. Petrelli, F. Tombari, L.D. Stefano, On the affinity between 3D detectors and descriptors, Second Joint 3DIM/3DPVT Conference: 3D Imaging, Modeling, Processing, Visualization & Transmission, 1, 2012. pp. 425–4313.; [40] R. Hänsch, T. Weber, O. Hellwich, Comparison of 3D interest point detectors and descriptors for point cloud fusion, ISPRS Annals of Photogrammetry, Remote. Sens. Spat. Inf. Sci. (2014) 57–64. II-3 (September).; [41] Y. Guo, M. Bennamoun, F. Sohel, M. Lu, J. Wan, N.M. Kwok, A comprehensive performance evaluation of 3D local feature descriptors, Int. J. Comput. Vis. 116 (1) (2016) 66–89.; [42] R.B. Rusu, N. Blodow, M. Beetz, Fast point feature histograms (FPFH) for 3D registration, IEEE International Conference on Robotics and Automation (ICRA), 2009. pp. 3212–3217.; [43] S. Salti, F. Tombari, L. Di Stefano, SHOT: unique signatures of histograms for surface and texture description, Comput. Vis. Image Underst. 125 (2014) 251–264.; [44] M. Muja, D.G. Lowe, Scalable nearest neighbor algorithms for high dimensional data, IEEE Trans. Pattern Anal. Mach. Intell. 36 (11) (2014) 2227–2240.; [45] T. Ojala, M. Pietikainen, D. Harwood, Performance evaluation of texture measures with classification based on Kullback discrimination of distributions, 12th International Conference on Pattern Recognition (ICPR), 1, 1994. pp. 582–585.; [46] S. Chun, C. Lee, S. Lee, Facial expression recognition using extended local binary patterns of 3D curvature, Multimedia and Ubiquitous Engineering, 2013. pp. 1005–1012.; [47] C. Cortes, V. Vapnik, Support-vector networks, Mach. Learn. 20 (3) (1995) 273–297.; [48] J. Sturm, N. Engelhard, F. Endres, W. Burgard, D. Cremers, A benchmark for the evaluation of RGB-D SLAM systems, IEEE International Conference on Intelligent Robots and Systems (IROS), 2012. pp. 573–580.; [49] J. Russell, P. Norvig, Artificial Intelligence: A Modern Approach, Third ed., Pearson Education, Inc, 2010.; http://hdl.handle.net/10614/11388; https://doi.org/10.1016/j.imavis.2017.08.008
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19Report
المؤلفون: Repchevsky, Dmitry, Naro, Daniel, Royo, Romina, Llorente Viejo, Silvia, Delgado Mercè, Jaime, Gelpi, Josep Lluis
المساهمون: Universitat Politècnica de Catalunya. Departament d'Arquitectura de Computadors, Universitat Politècnica de Catalunya. IMP - Information Modeling and Processing
مصطلحات موضوعية: Àrees temàtiques de la UPC::Informàtica::Sistemes d'informació::Emmagatzematge i recuperació de la informació, Data compression (Computer science), MPEG-G, Compression, Genomics, Dades -- Compressió (Informàtica)
وصف الملف: 1 p.; application/pdf
Relation: https://f1000research.com/posters/8-1071; info:eu-repo/grantAgreement/MINECO//TEC2015-67774-C2-1-R/ES/SECURE GENOMIC INFORMATION COMPRESSION/; Repchevsky, D. [et al.]. "jmpegg 1.0 – the pure java implementation of the MPEG-G ISO/IEC 23092 standard". 2019.; http://hdl.handle.net/2117/168998
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20
المؤلفون: Gourianov, N
المساهمون: Daley, A, Gregori, G, Jaksch, D
مصطلحات موضوعية: Data compression (Computer science), Computational fluid dynamics, Quantum computing, Tensor algebra