Literatura académica sobre el tema "Embedding techniques"
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Artículos de revistas sobre el tema "Embedding techniques"
Duong, Chi Thang, Trung Dung Hoang, Hongzhi Yin, Matthias Weidlich, Quoc Viet Hung Nguyen y Karl Aberer. "Scalable robust graph embedding with Spark". Proceedings of the VLDB Endowment 15, n.º 4 (diciembre de 2021): 914–22. http://dx.doi.org/10.14778/3503585.3503599.
Texto completoLi, Pandeng, Yan Li, Hongtao Xie y Lei Zhang. "Neighborhood-Adaptive Structure Augmented Metric Learning". Proceedings of the AAAI Conference on Artificial Intelligence 36, n.º 2 (28 de junio de 2022): 1367–75. http://dx.doi.org/10.1609/aaai.v36i2.20025.
Texto completoMao, Yuqing y Kin Wah Fung. "Use of word and graph embedding to measure semantic relatedness between Unified Medical Language System concepts". Journal of the American Medical Informatics Association 27, n.º 10 (1 de octubre de 2020): 1538–46. http://dx.doi.org/10.1093/jamia/ocaa136.
Texto completoSAMANTA, SAURAV. "NONCOMMUTATIVITY FROM EMBEDDING TECHNIQUES". Modern Physics Letters A 21, n.º 08 (14 de marzo de 2006): 675–89. http://dx.doi.org/10.1142/s0217732306019037.
Texto completoTan, Eugene, Shannon Algar, Débora Corrêa, Michael Small, Thomas Stemler y David Walker. "Selecting embedding delays: An overview of embedding techniques and a new method using persistent homology". Chaos: An Interdisciplinary Journal of Nonlinear Science 33, n.º 3 (marzo de 2023): 032101. http://dx.doi.org/10.1063/5.0137223.
Texto completoLiang, Jiongqian, Saket Gurukar y Srinivasan Parthasarathy. "MILE: A Multi-Level Framework for Scalable Graph Embedding". Proceedings of the International AAAI Conference on Web and Social Media 15 (22 de mayo de 2021): 361–72. http://dx.doi.org/10.1609/icwsm.v15i1.18067.
Texto completoMoudhich, Ihab y Abdelhadi Fennan. "Evaluating sentiment analysis and word embedding techniques on Brexit". IAES International Journal of Artificial Intelligence (IJ-AI) 13, n.º 1 (1 de marzo de 2024): 695. http://dx.doi.org/10.11591/ijai.v13.i1.pp695-702.
Texto completoZhou, Jingya, Ling Liu, Wenqi Wei y Jianxi Fan. "Network Representation Learning: From Preprocessing, Feature Extraction to Node Embedding". ACM Computing Surveys 55, n.º 2 (31 de marzo de 2023): 1–35. http://dx.doi.org/10.1145/3491206.
Texto completoGoel, Mukta y Rohit Goel. "Comparative Analysis of Hybrid Transform Domain Image Steganography Embedding Techniques". International Journal of Scientific Research 2, n.º 2 (1 de junio de 2012): 388–90. http://dx.doi.org/10.15373/22778179/feb2013/131.
Texto completoSrinidhi, K., T. L.S Tejaswi, CH Rama Rupesh Kumar y I. Sai Siva Charan. "An Advanced Sentiment Embeddings with Applications to Sentiment Based Result Analysis". International Journal of Engineering & Technology 7, n.º 2.32 (31 de mayo de 2018): 393. http://dx.doi.org/10.14419/ijet.v7i2.32.15721.
Texto completoTesis sobre el tema "Embedding techniques"
Thanh, Trung Huynh. "On leverage embedding techniques for network alignment". Thesis, Griffith University, 2022. http://hdl.handle.net/10072/416055.
Texto completoThesis (PhD Doctorate)
Doctor of Philosophy (PhD)
School of Info & Comm Tech
Institute of Integrated and Intelligent Systems
Science, Environment, Engineering and Technology
Full Text
Chochlidakis, Georgios. "Mobility-aware virtual network embedding techniques for next-generation mobile networks". Thesis, King's College London (University of London), 2018. https://kclpure.kcl.ac.uk/portal/en/theses/mobilityaware-virtual-network-embedding-techniques-for-nextgeneration-mobile-networks(174e714f-2a4a-447a-bcd5-d526170377fd).html.
Texto completoObidallah, Waeal. "Multi-Layer Web Services Discovery using Word Embedding and Clustering Techniques". Thesis, Université d'Ottawa / University of Ottawa, 2021. http://hdl.handle.net/10393/41840.
Texto completoOjike, Uzoma. "Combining tools and techniques for embedding an ecosystem approach in spatial planning". Thesis, Imperial College London, 2013. http://hdl.handle.net/10044/1/11196.
Texto completoAlain, Martin. "A compact video representation format based on spatio-temporal linear embedding and epitome". Thesis, Rennes 1, 2016. http://www.theses.fr/2016REN1S001/document.
Texto completoEfficient video compression is nowadays a critical issue, and is expected to be more and more crucial in the future, with the ever increasing video traffic and the production of new digital video formats with high resolution, wide color gamut, high dynamic range, or high frame rate. The MPEG standard HEVC is currently one of the most efficient video compression scheme, however, addressing the future needs calls for novel and disruptive methods. In fact, the main principles of modern video compression standards rely on concepts designed more than 30 years ago: the reduction of spatial and temporal redundancies, through prediction tools, the use of a transform to further reduce the inner correlations of the signal, followed by quantization to remove non-perceptive information, and entropy coding to remove the remaining statistical redundancies. In this thesis, we explore novel methods which aims at further exploiting the natural redundancies occurring in video signals, notably through the use of multi-patches techniques. First, we introduce LLE-based multi-patches methods in order to improve Inter prediction, which are then combined for both Intra and Inter predictions, and are proven efficient over H.264. We then propose epitome-based de-noising methods to improve the performances of existing codecs in a out-of-the-loop scheme. High quality epitomes are transmitted to the decoder in addition to the coded sequence, and we can then use at the decoder side multi-patches de-noising methods relying on the high quality patches from the epitomes, in order to improve the quality of the decoded sequence. This scheme is shown efficient compared to SHVC. Finally, we proposed another out-of-the-loop scheme relying on a symmetric clustering of the patches performed at both encoder and decoder sides. At the encoder side, linear mappings are learned for each cluster between the coded/decoded patches and the corresponding source patches. The linear mappings are then sent to the decoder and applied to the decoded patches in order to improve the quality of the decoded sequence. The proposed scheme improves the performances of HEVC, and is shown promising for scalable schemes such as SHVC
Raahemi, Mohammad. "Intelligent Prediction of Stock Market Using Text and Data Mining Techniques". Thesis, Université d'Ottawa / University of Ottawa, 2020. http://hdl.handle.net/10393/40934.
Texto completoSenjean, Bruno. "Development of new embedding techniques for strongly correlated electrons : from in-principle-exact formulations to practical approximations". Thesis, Strasbourg, 2018. http://www.theses.fr/2018STRAF035/document.
Texto completoThe thesis deals with the development and implementation of new methods for the description of strong electron correlation effects in molecules and solids. After introducing the state of the art in quantum chemistry and in condensed matter physics, a new hybrid method so-called ``site-occupation embedding theory'' (SOET) is presented and is based on the merging of wavefunction theory and density functional theory (DFT). Different formulations of this theory are described and applied to the one-dimensional Hubbard model. In addition, a novel ensemble density functional theory approach has been derived to extract the fundamental gap exactly. In the latter approach, the infamous derivative discontinuity is reformulated as a derivative of a weight-dependent exchange-correlation functional. Finally, a quantum chemical extension of SOET is proposed and based on a seniority-zero wavefunction, completed by a functional of the density matrix and expressed in the natural orbital basis
Paoli, Roberto. "Cell culture interfaces for different organ-on-chip applications: from photolithography to rapid-prototyping techniques with sensor embedding". Doctoral thesis, Universitat de Barcelona, 2019. http://hdl.handle.net/10803/668376.
Texto completoEn los últimos años está emergiendo una nueva propuesta para mejorar los modelos actuales en el estudio de nuevos fármacos. Mediante la fusión de cultivos celulares y microfluídica ha nacido un nuevo campo de aplicación denominado “Órgano-en-un-chip” (OOC), donde se recrea un entorno fisiológico capaz de reproducir unidades funcionales mínimas de diversos órganos del cuerpo humano. Un elemento importante para el desarrollo de dispositivos OOC es la reproducción de zonas de interacción entre varios tejidos formados por diferentes tipos celulares. Esta tesis, titulada “Interfaces de cultivo celular para diferentes aplicaciones de OOC: desde fotolitografía a técnicas de prototipado rápido con inclusión de sensores”, tiene como objetivo el diseño, simulación y evaluación de dispositivos OOC capaces de reproducir superficies de contacto de tejidos contiguos expuestos a flujo. El trabajo está enfocado a la exploración de nuevas técnicas de fabricación que permitan el prototipado rápido de dispositivos OOC, reduciendo costes, tiempo y mano de obra asociada a dicha fabricación. El objetivo final es demostrar la utilidad de los dispositivos como herramientas de investigación para problemas biológicos, aplicándolos en esta tesis al estudio del túbulo renal y de la barrera hematoencefálica. Para ello se han fabricado tres versiones de dispositivos: 1) OOCv1 fabricado por litografía suave en múltiples capas de PDMS; 2) OOCv2 fabricado con cortadora de vinilo y cortadora láser en múltiples capas de materiales termoplásticos y con electrodos integrados en la versión OOCv2.2; 3) OOCv3 fabricado mediante impresión 3D por esterolitografía. Todos los dispositivos están hechos de materiales biocompatibles de alta calidad óptica, con conectores fluídicos y una membrana comercial integrada. Los experimentos biológicos sobre túbulo renal, realizados en los dispositivos OOCv1 y OOCv2, han demostrado la viabilidad de los dispositivos, integrados con un sistema de flujo, para estudios de la metabolización de ácidos grasos en el riñón relacionados con condiciones diabetogénicas. Los experimentos biológicos sobre la barrera hematoencefálica han confirmado la viabilidad de OOCv2 para el cocultivo compartimentado de células endoteliales de cerebro y pericitos. La integración de electrodos en el OOCv2.2 ha demostrado ser una técnica fiable para la medición de la integridad de barreras biológicas de modo no-invasivo, libre de etiqueta (“label-free”), y a tiempo real gracias a la espectroscopía de impedancia.
Antici, Francesco. "Advanced techniques for cross-language annotation projection in legal texts". Master's thesis, Alma Mater Studiorum - Università di Bologna, 2021. http://amslaurea.unibo.it/23884/.
Texto completoSakarya, Hatice. "A Contribution To Modern Data Reduction Techniques And Their Applications By Applied Mathematics And Statistical Learning". Master's thesis, METU, 2010. http://etd.lib.metu.edu.tr/upload/12612819/index.pdf.
Texto completoLibros sobre el tema "Embedding techniques"
Center, Langley Research, ed. Graph embedding techniques for bounding condition numbers of incomplete factor preconditioners. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1997.
Buscar texto completoGuattery, Stephen. Graph embedding techniques for bounding condition numbers of incomplete factor preconditioners. Hampton, Va: Institute for Computer Applications in Science and Engineering, NASA Langley Research Center, 1997.
Buscar texto completoLin, Yan. Novel Techniques in Recovering, Embedding, and Enforcing Policies for Control-Flow Integrity. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-73141-0.
Texto completoFormalin-fixed paraffin-embedded tissues: Methods and protocols. New York: Humana Press, 2011.
Buscar texto completoKuixiong, Gao, ed. Polyethylene glycol as an embedment for microscopy and histochemistry. Boca Raton: CRC Press, 1993.
Buscar texto completoNewman, G. R. Resin microscopy and on-section immunocytochemistry. Berlin: Springer-Verlag, 1993.
Buscar texto completoEmbedding Formative Assessment: Practical Techniques for K-12 Classrooms. Learning Sciences International, 2015.
Buscar texto completoBehrens, Stefan, Boldizsar Kalmar, Min Hoon Kim, Mark Powell y Arunima Ray, eds. The Disc Embedding Theorem. Oxford University Press, 2021. http://dx.doi.org/10.1093/oso/9780198841319.001.0001.
Texto completoLin, Yan. Novel Techniques in Recovering, Embedding, and Enforcing Policies for Control-Flow Integrity. Springer International Publishing AG, 2021.
Buscar texto completo(Editor), Stefan Katzenbeisser y Fabien, A.P. Petitcolas (Editor), eds. Information Hiding Techniques for Steganography and Digital Watermarking. Artech House Publishers, 2000.
Buscar texto completoCapítulos de libros sobre el tema "Embedding techniques"
Armbruster, Barbara L. y Edward Kellenberger. "Low-Temperature Embedding". En Ultrastructure Techniques for Microorganisms, 267–95. Boston, MA: Springer US, 1986. http://dx.doi.org/10.1007/978-1-4684-5119-1_10.
Texto completoMaddalena, L., I. Manipur, M. Manzo y M. R. Guarracino. "On Whole-Graph Embedding Techniques". En Trends in Biomathematics: Chaos and Control in Epidemics, Ecosystems, and Cells, 115–31. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-73241-7_8.
Texto completoHayat, M. A. "Rinsing, Dehydration and Embedding". En Principles and Techniques of Electron Microscopy, 79–137. London: Macmillan Education UK, 1989. http://dx.doi.org/10.1007/978-1-349-09857-6_2.
Texto completoAldrich, H. C. y H. H. Mollenhauer. "Secrets of Successful Embedding, Sectioning, and Imaging". En Ultrastructure Techniques for Microorganisms, 101–32. Boston, MA: Springer US, 1986. http://dx.doi.org/10.1007/978-1-4684-5119-1_4.
Texto completoPuel, Laurence. "Embedding with patterns and associated recursive path ordering". En Rewriting Techniques and Applications, 371–87. Berlin, Heidelberg: Springer Berlin Heidelberg, 1989. http://dx.doi.org/10.1007/3-540-51081-8_120.
Texto completoBartal, Yair, Douglas E. Carroll, Adam Meyerson y Ofer Neiman. "Bandwidth and Low Dimensional Embedding". En Approximation, Randomization, and Combinatorial Optimization. Algorithms and Techniques, 50–61. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-22935-0_5.
Texto completoDey, Pranab. "Embedding of Tissue in Histopathology". En Basic and Advanced Laboratory Techniques in Histopathology and Cytology, 29–33. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-8252-8_3.
Texto completoDey, Pranab. "Embedding of Tissue in Histopathology". En Basic and Advanced Laboratory Techniques in Histopathology and Cytology, 29–34. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-6616-3_3.
Texto completoBockmayr, Alexander. "Embedding OR Techniques in Constraint Logic Programming". En Operations Research ’92, 252–54. Heidelberg: Physica-Verlag HD, 1993. http://dx.doi.org/10.1007/978-3-662-12629-5_74.
Texto completoPaul, Sunhera y Mark Stamp. "Word Embedding Techniques for Malware Evolution Detection". En Malware Analysis Using Artificial Intelligence and Deep Learning, 321–43. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-62582-5_12.
Texto completoActas de conferencias sobre el tema "Embedding techniques"
Zhang, Yizhou, Guojie Song, Lun Du, Shuwen Yang y Yilun Jin. "DANE: Domain Adaptive Network Embedding". En Twenty-Eighth International Joint Conference on Artificial Intelligence {IJCAI-19}. California: International Joint Conferences on Artificial Intelligence Organization, 2019. http://dx.doi.org/10.24963/ijcai.2019/606.
Texto completoYang, Li. "Data embedding techniques and applications". En the 2nd international workshop. New York, New York, USA: ACM Press, 2005. http://dx.doi.org/10.1145/1160939.1160948.
Texto completoPranathi, Karedla Sai y C. P. Prathibhamol. "Node Classification through Graph Embedding Techniques". En 2021 4th Biennial International Conference on Nascent Technologies in Engineering (ICNTE). IEEE, 2021. http://dx.doi.org/10.1109/icnte51185.2021.9487668.
Texto completoCheng, Weiyu, Yanyan Shen, Yanmin Zhu y Linpeng Huang. "DELF: A Dual-Embedding based Deep Latent Factor Model for Recommendation". En Twenty-Seventh International Joint Conference on Artificial Intelligence {IJCAI-18}. California: International Joint Conferences on Artificial Intelligence Organization, 2018. http://dx.doi.org/10.24963/ijcai.2018/462.
Texto completoHao, Jianzhong, Guangxi Peng, Chin-Li Liaw, Wee Chye Ho, Lihao Chen, Shiro Takahashi, Jun Hong Ng, Xiaoqun Zhou y Cjao Lu. "Impact of embedding techniques in FBG sensors". En 2004 9th IEEE Singapore International Conference on Communication Systems (ICCS). IEEE, 2004. http://dx.doi.org/10.1109/iccs.2004.1359438.
Texto completoOkasaki, Chris. "Techniques for embedding postfix languages in Haskell". En the ACM SIGPLAN workshop. New York, New York, USA: ACM Press, 2002. http://dx.doi.org/10.1145/581690.581699.
Texto completoBrunk, Hugh. "Host-aware spread spectrum watermark embedding techniques". En Electronic Imaging 2003, editado por Edward J. Delp III y Ping W. Wong. SPIE, 2003. http://dx.doi.org/10.1117/12.477326.
Texto completoNeelima, A. y Shashi Mehrotra. "A Comprehensive Review on Word Embedding Techniques". En 2023 International Conference on Intelligent Systems for Communication, IoT and Security (ICISCoIS). IEEE, 2023. http://dx.doi.org/10.1109/iciscois56541.2023.10100347.
Texto completoS, Lovelyn Rose. "Comparative Study on Different Word Embedding Techniques". En Proceedings of the First International Conference on Combinatorial and Optimization, ICCAP 2021, December 7-8 2021, Chennai, India. EAI, 2021. http://dx.doi.org/10.4108/eai.7-12-2021.2314494.
Texto completoYazdizadeh, Tina y Wei Shi. "Performance Evaluation for the use of ELMo Word Embedding in Cyberbullying Detection". En 3rd International Conference on Data Science and Machine Learning (DSML 2022). Academy and Industry Research Collaboration Center (AIRCC), 2022. http://dx.doi.org/10.5121/csit.2022.121511.
Texto completoInformes sobre el tema "Embedding techniques"
Datta, Bithin, Jean Beegle, M. Kavvas y Gerald Orlob. Development of an expert-system embedding pattern-recognition techniques for pollution-source identification. Report for 30 September 1987-29 November 1989. Office of Scientific and Technical Information (OSTI), diciembre de 1989. http://dx.doi.org/10.2172/6855981.
Texto completoBuurma, Andrew W. y Roberto G. Rojas. Aerospace Sensor Component and Subsystem Investigation And Innovation-2 Component Exploration and Development (ASCII-2 CED). Delivery Order 0002: Volume 3 - Reconfigurable Aperture Antenna Virtual Prototyping (General Techniques for De-Embedding RF Passive Devices). Fort Belvoir, VA: Defense Technical Information Center, septiembre de 2005. http://dx.doi.org/10.21236/ada445437.
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