Literatura académica sobre el tema "Embedding Analysis"
Crea una cita precisa en los estilos APA, MLA, Chicago, Harvard y otros
Consulte las listas temáticas de artículos, libros, tesis, actas de conferencias y otras fuentes académicas sobre el tema "Embedding Analysis".
Junto a cada fuente en la lista de referencias hay un botón "Agregar a la bibliografía". Pulsa este botón, y generaremos automáticamente la referencia bibliográfica para la obra elegida en el estilo de cita que necesites: APA, MLA, Harvard, Vancouver, Chicago, etc.
También puede descargar el texto completo de la publicación académica en formato pdf y leer en línea su resumen siempre que esté disponible en los metadatos.
Artículos de revistas sobre el tema "Embedding Analysis"
Lainscsek, Claudia y Terrence J. Sejnowski. "Delay Differential Analysis of Time Series". Neural Computation 27, n.º 3 (marzo de 2015): 594–614. http://dx.doi.org/10.1162/neco_a_00706.
Texto completoSamko, Natasha. "Embeddings of weighted generalized Morrey spaces into Lebesgue spaces on fractal sets". Fractional Calculus and Applied Analysis 22, n.º 5 (25 de octubre de 2019): 1203–24. http://dx.doi.org/10.1515/fca-2019-0064.
Texto completoSabbeh, Sahar F. y Heba A. Fasihuddin. "A Comparative Analysis of Word Embedding and Deep Learning for Arabic Sentiment Classification". Electronics 12, n.º 6 (16 de marzo de 2023): 1425. http://dx.doi.org/10.3390/electronics12061425.
Texto completoHe, Hongliang, Junlei Zhang, Zhenzhong Lan y Yue Zhang. "Instance Smoothed Contrastive Learning for Unsupervised Sentence Embedding". Proceedings of the AAAI Conference on Artificial Intelligence 37, n.º 11 (26 de junio de 2023): 12863–71. http://dx.doi.org/10.1609/aaai.v37i11.26512.
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 completoRuskanda, Fariska Zakhralativa, Stefanus Stanley Yoga Setiawan, Nadya Aditama y Masayu Leylia Khodra. "Sentiment Analysis of Sentence-Level using Dependency Embedding and Pre-trained BERT Model". PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic 11, n.º 1 (31 de marzo de 2023): 171–80. http://dx.doi.org/10.33558/piksel.v11i1.6938.
Texto completoTruică, Ciprian-Octavian, Elena-Simona Apostol, Maria-Luiza Șerban y Adrian Paschke. "Topic-Based Document-Level Sentiment Analysis Using Contextual Cues". Mathematics 9, n.º 21 (27 de octubre de 2021): 2722. http://dx.doi.org/10.3390/math9212722.
Texto completoLi, Qizhi, Xianyong Li, Yajun Du, Yongquan Fan y Xiaoliang Chen. "A New Sentiment-Enhanced Word Embedding Method for Sentiment Analysis". Applied Sciences 12, n.º 20 (11 de octubre de 2022): 10236. http://dx.doi.org/10.3390/app122010236.
Texto completoBeckner, William. "Estimates on Moser Embedding". Potential Analysis 20, n.º 4 (junio de 2004): 345–59. http://dx.doi.org/10.1023/b:pota.0000009813.38619.47.
Texto completoGórka, Przemysław, Tomasz Kostrzewa y Enrique G. Reyes. "Sobolev Spaces on Locally Compact Abelian Groups: Compact Embeddings and Local Spaces". Journal of Function Spaces 2014 (2014): 1–6. http://dx.doi.org/10.1155/2014/404738.
Texto completoTesis sobre el tema "Embedding Analysis"
Abdikalikova, Zamira. "Embedding theorems for spaces with multiweighted derivatives". Licentiate thesis, Luleå tekniska universitet, Matematiska vetenskaper, 2007. http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-26092.
Texto completoGodkänd; 2007; 20071107 (ysko)
JOHANSSON, SIMON y EMIL LENNGREN. "Steganographic embedding and steganalysisevaluation : An evaluation of common methods for steganographic embedding and analysis indigital images". Thesis, KTH, Skolan för datavetenskap och kommunikation (CSC), 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-157499.
Texto completoRossiter, Darien Elizabeth. "Embedding e-learning in universities : analysis and conceptualisation of change processes". Thesis, Queensland University of Technology, 2006. https://eprints.qut.edu.au/16223/1/Darien_Rossiter_Thesis.pdf.
Texto completoRossiter, Darien Elizabeth. "Embedding e-learning in universities : analysis and conceptualisation of change processes". Queensland University of Technology, 2006. http://eprints.qut.edu.au/16223/.
Texto completoAlgervik, Robert. "Embedding Theorems for Mixed Norm Spaces and Applications". Doctoral thesis, Karlstads universitet, Avdelningen för matematik, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:kau:diva-5646.
Texto completoChen, Brian 1972. "Design and analysis of digital watermarking, information embedding, and data hiding systems". Thesis, Massachusetts Institute of Technology, 2000. http://hdl.handle.net/1721.1/31086.
Texto completoIncludes bibliographical references (p. 139-142).
Digital watermarking, information embedding, and data hiding systems embed information, sometimes called a digital watermark, inside a host signal, which is typically an image, audio signal, or video signal. The host signal is not degraded unacceptably in the process, and one can recover the watermark even if the composite host and watermark signal undergo a variety of corruptions and attacks as long as these corruptions do not unacceptably degrade the host signal. These systems play an important role in meeting at least three major challenges that result from the widespread use of digital communication networks to disseminate multimedia content: (1) the relative ease with which one can generate perfect copies of digital signals creates a need for copyright protection mechanisms, (2) the relative ease with which one can alter digital signals creates a need for authentication and tamper-detection methods, and (3) the increase in sheer volume of transmitted data creates a demand for bandwidth-efficient methods to either backwards-compatibly increase capacities of existing legacy networks or deploy new networks backwards-compatibly with legacy networks. We introduce a framework within which to design and analyze digital watermarking and information embedding systems. In this framework performance is characterized by achievable rate-distortion-robustness trade-offs, and this framework leads quite naturally to a new class of embedding methods called quantization index modulation (QIM). These QIM methods, especially when combined with postprocessing called distortion compensation, achieve provably better rate-distortion-robustness performance than previously proposed classes of methods such as spread spectrum methods and generalized low-bit modulation methods in a number of different scenarios, which include both intentional and unintentional attacks. Indeed, we show that distortion-compensated QIM methods can achieve capacity, the information-theoretically best possible rate-distortion-robustness performance, against both additive Gaussian noise attacks and arbitrary squared error distortion-constrained attacks. These results also have implications for the problem of communicating over broadcast channels. We also present practical implementations of QIM methods called dither modulation and demonstrate their performance both analytically and through empirical simulations.
by Brian Chen.
Ph.D.
Perinelli, Alessio. "A new approach to optimal embedding of time series". Doctoral thesis, Università degli studi di Trento, 2020. http://hdl.handle.net/11572/280754.
Texto completoPerinelli, Alessio. "A new approach to optimal embedding of time series". Doctoral thesis, Università degli studi di Trento, 2020. http://hdl.handle.net/11572/280754.
Texto completoZha, Xiao. "Topological Data Analysis on Road Network Data". The Ohio State University, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=osu155563664988436.
Texto completoLiang, Qingqing. "Systematic Analysis and Optimization of Broadband Noise and Linearity in SiGe HBTs". Diss., Georgia Institute of Technology, 2005. http://hdl.handle.net/1853/6980.
Texto completoLibros sobre el tema "Embedding Analysis"
Fu, Yun y Yunqian Ma, eds. Graph Embedding for Pattern Analysis. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-4457-2.
Texto completo1975-, Parcet Javier, ed. Mixed-norm inequalities and operator space Lp embedding theory. Providence, R.I: American Mathematical Society, 2010.
Buscar texto completo1951-, Sawyer E. T., ed. Embedding and multiplier theorems for H[superscript p](R[superscript n]). Providence, R.I., USA: American Mathematical Society, 1985.
Buscar texto completoK, Binienda Wieslaw, Kreider K. L y Lewis Research Center, eds. Analysis of multiple cracks in an infinite functionally graded plate. [Cleveland, Ohio]: National Aeronautics and Space Administration, Lewis Research Center, 1999.
Buscar texto completoK, Binienda Wieslaw, Kreider K. L y Lewis Research Center, eds. Analysis of multiple cracks in an infinite functionally graded plate. [Cleveland, Ohio]: National Aeronautics and Space Administration, Lewis Research Center, 1999.
Buscar texto completoFormalin-fixed paraffin-embedded tissues: Methods and protocols. New York: Humana Press, 2011.
Buscar texto completoSeitz, Evan Elliott. Analysis of Conformational Continuum and Free-energy Landscapes from Manifold Embedding of Single-particle Cryo-EM Ensembles of Biomolecules. [New York, N.Y.?]: [publisher not identified], 2022.
Buscar texto completoSimon, Barry. Harmonic analysis. Providence, Rhode Island: American Mathematical Society, 2015.
Buscar texto completoJakobson, Dmitry, Pierre Albin y Frédéric Rochon. Geometric and spectral analysis. Providence, Rhode Island: American Mathematical Society, 2014.
Buscar texto completoMilman, Mario. Extrapolation and optimal decompositions withapplications to analysis. Berlin: Springer-Verlag, 1994.
Buscar texto completoCapítulos de libros sobre el tema "Embedding Analysis"
Sidorova, Natalia y Martin Steffen. "Embedding Chaos". En Static Analysis, 319–34. Berlin, Heidelberg: Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/3-540-47764-0_18.
Texto completoBerthelot, Jean-Michel. "6. The implications of ‘societal analysis’ for a programme of research". En Embedding Organizations, 89. Amsterdam: John Benjamins Publishing Company, 2000. http://dx.doi.org/10.1075/aios.4.09ber.
Texto completoBarrère-Maurisson, Marie-Agnes. "21. Societal analysis and social change in the family division of labour". En Embedding Organizations, 357. Amsterdam: John Benjamins Publishing Company, 2000. http://dx.doi.org/10.1075/aios.4.32bar.
Texto completoSellier, François. "9. The contribution of societal analysis to the economic theory of the firm". En Embedding Organizations, 143. Amsterdam: John Benjamins Publishing Company, 2000. http://dx.doi.org/10.1075/aios.4.14sel.
Texto completoMaurice, Marc. "2. The paradoxes of societal analysis. A review of the past and prospects for the future". En Embedding Organizations, 13. Amsterdam: John Benjamins Publishing Company, 2000. http://dx.doi.org/10.1075/aios.4.05mau.
Texto completoKouropteva, Olga, Oleg Okun y Matti Pietikäinen. "Incremental Locally Linear Embedding Algorithm". En Image Analysis, 521–30. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11499145_53.
Texto completoThéret, Bruno. "7. Theoretical problems in international comparisons: Towards a reciprocal improvement of societal analysis and régulation theory by methodic structuralism". En Embedding Organizations, 101. Amsterdam: John Benjamins Publishing Company, 2000. http://dx.doi.org/10.1075/aios.4.10the.
Texto completoRen, Peng, Furqan Aziz, Lin Han, Eliza Xu, Richard C. Wilson y Edwin R. Hancock. "Geometricity and Embedding". En Similarity-Based Pattern Analysis and Recognition, 121–55. London: Springer London, 2013. http://dx.doi.org/10.1007/978-1-4471-5628-4_6.
Texto completoKaram, Z. N. y W. M. Campbell. "Graph Embedding for Speaker Recognition". En Graph Embedding for Pattern Analysis, 229–60. New York, NY: Springer New York, 2012. http://dx.doi.org/10.1007/978-1-4614-4457-2_10.
Texto completoLuo, Yong, Dacheng Tao y Chao Xu. "Patch Alignment for Graph Embedding". En Graph Embedding for Pattern Analysis, 73–118. New York, NY: Springer New York, 2012. http://dx.doi.org/10.1007/978-1-4614-4457-2_4.
Texto completoActas de conferencias sobre el tema "Embedding Analysis"
Fu, Yun y Thomas S. Huang. "Correlation Embedding Analysis". En 2008 15th IEEE International Conference on Image Processing. IEEE, 2008. http://dx.doi.org/10.1109/icip.2008.4712100.
Texto completoBollegala, Danushka. "Learning Meta Word Embeddings by Unsupervised Weighted Concatenation of Source Embeddings". En Thirty-First International Joint Conference on Artificial Intelligence {IJCAI-22}. California: International Joint Conferences on Artificial Intelligence Organization, 2022. http://dx.doi.org/10.24963/ijcai.2022/563.
Texto completoHui Xue y Song-Can Chen. "Alternative robust local embedding". En 2007 International Conference on Wavelet Analysis and Pattern Recognition. IEEE, 2007. http://dx.doi.org/10.1109/icwapr.2007.4420738.
Texto completoZheng, Q. y D. B. Skillicorn. "Spectral Embedding of Directed Networks". En ASONAM '15: Advances in Social Networks Analysis and Mining 2015. New York, NY, USA: ACM, 2015. http://dx.doi.org/10.1145/2808797.2809310.
Texto completoGhindici, Dorina, Gilles Grimaud y Isabelle Simplot-Ryl. "Embedding verifiable information flow analysis". En the 2006 International Conference. New York, New York, USA: ACM Press, 2006. http://dx.doi.org/10.1145/1501434.1501481.
Texto completoOscar Deho, B., A. William Agangiba, L. Felix Aryeh y A. Jeffery Ansah. "Sentiment Analysis with Word Embedding". En 2018 IEEE 7th International Conference on Adaptive Science & Technology (ICAST). IEEE, 2018. http://dx.doi.org/10.1109/icastech.2018.8506717.
Texto completoMakarov, Ilya y Artem Oborevich. "Network Embedding for Cluster Analysis". En 2021 IEEE 21st International Symposium on Computational Intelligence and Informatics (CINTI). IEEE, 2021. http://dx.doi.org/10.1109/cinti53070.2021.9668468.
Texto completoSkillicorn, D. B., Q. Zheng y C. Morselli. "Spectral embedding for dynamic social networks". En ASONAM '13: Advances in Social Networks Analysis and Mining 2013. New York, NY, USA: ACM, 2013. http://dx.doi.org/10.1145/2492517.2492522.
Texto completoYamazaki, Shinpei, Fumihiro Furukori, Qinzheng Zhao, Keiichiro Shirai y Masayuki Okamoto. "Embedding a Mathematical OCR Module into OCRopus". En 2011 International Conference on Document Analysis and Recognition (ICDAR). IEEE, 2011. http://dx.doi.org/10.1109/icdar.2011.180.
Texto completoWeidong Yan, Zheng Tian, Jinhuan Wen y Lulu Pan. "Point pattern matching based on manifold embedding". En 2010 International Conference on Image Analysis and Signal Processing. IEEE, 2010. http://dx.doi.org/10.1109/iasp.2010.5476067.
Texto completoInformes sobre el tema "Embedding Analysis"
Dunlavy, Daniel, Timothy Shead, Daniel Dunlavy, Aditya Konduri, Hemanth Kolla, Daniel Dunlavy y W. Kegelmeyer. Embedding Python for In-Situ Analysis. Office of Scientific and Technical Information (OSTI), agosto de 2018. http://dx.doi.org/10.2172/1734473.
Texto completoMcGarrigle, M. Embedding Building Information Modelling into Construction Technology and Documentation Courses. Unitec ePress, noviembre de 2014. http://dx.doi.org/10.34074/rsrp.005.
Texto completoMcGarrigle, M. Embedding Building Information Modelling into Construction Technology and Documentation Courses. Unitec ePress, noviembre de 2014. http://dx.doi.org/10.34074/rsrp.005.
Texto completoRomova, Zina y Martin Andrew. Embedding Learning for Future and Imagined Communities in Portfolio Assessment. Unitec ePress, septiembre de 2015. http://dx.doi.org/10.34074/rsrp.42015.
Texto completoXiao, Yao, Jun Xiong, Yuntao Zeng y Ming Gong. Systematic evaluation and Meta analysis of the treatment of allergic rhinitis with needle-embedding therapy. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, agosto de 2021. http://dx.doi.org/10.37766/inplasy2021.8.0029.
Texto completoLuo, Jing, Chen Zhang, Mengjie Xia y Yuelian Chen. Acupoint catgut embedding reduces postoperative pain of mixed hemorrhoids: a meta-analysis of randomized controlled trials. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, febrero de 2022. http://dx.doi.org/10.37766/inplasy2022.2.0021.
Texto completoXue, Feng, Hao Huang, Yiwei Fu, Bojun Feng, Weizhong Yan y Tianyi Wang. Deep Analysis Net with Causal Embedding for Coal-fired power plant Fault Detection and Diagnosis (DANCE4CFDD). Office of Scientific and Technical Information (OSTI), febrero de 2022. http://dx.doi.org/10.2172/1844966.
Texto completoChen, Qiu. The effectiveness of acupoint catgut embedding in hyperlipidemia with obesity:protocol for a systematic review and meta-analysis. INPLASY - International Platform of Registered Systematic Review Protocols, abril de 2020. http://dx.doi.org/10.37766/inplasy2020.4.0036.
Texto completoYi, Xingqian, Li Wang, Qingying He, Rigun A y Yimin Le. Acupoint catgut embedding for the treatment of peptic ulcers:A protocol for a systematic reviews and meta-analysis. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, marzo de 2021. http://dx.doi.org/10.37766/inplasy2021.3.0097.
Texto completoZhao, Hui Yan, Sungha Kim, ChangSop Yang y Mi Ju Son. Comparing acupoint catgut embedding and acupuncture therapies in simple obesity: Protocol for a systematic review and meta-analysis. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, octubre de 2021. http://dx.doi.org/10.37766/inplasy2021.10.0014.
Texto completo