Literatura académica sobre el tema "L1 Norms"
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Artículos de revistas sobre el tema "L1 Norms"
Arens, Richard y Moshe Goldberg. "Multilinear operators and weighted l1 norms". Linear Algebra and its Applications 267 (diciembre de 1997): 1–10. http://dx.doi.org/10.1016/s0024-3795(97)80039-0.
Texto completoFu, Haoying, Michael K. Ng, Mila Nikolova y Jesse L. Barlow. "Efficient Minimization Methods of Mixed l2-l1 and l1-l1 Norms for Image Restoration". SIAM Journal on Scientific Computing 27, n.º 6 (enero de 2006): 1881–902. http://dx.doi.org/10.1137/040615079.
Texto completoQi, Jinshan, Xun Liang y Rui Xu. "A Multiple Kernel Learning Model Based on p-Norm". Computational Intelligence and Neuroscience 2018 (2018): 1–7. http://dx.doi.org/10.1155/2018/1018789.
Texto completoYun, Jong-Gug. "Comparison Geometry With L1-Norms of Ricci Curvature". Canadian Mathematical Bulletin 49, n.º 1 (1 de marzo de 2006): 152–60. http://dx.doi.org/10.4153/cmb-2006-016-2.
Texto completoMustafa Chalabee, Botan A. y Bayan A. Hassan. "Cephalometric Norms of Erbil Kurdish Adults". Polytechnic Journal 10, n.º 1 (30 de junio de 2020): 130–34. http://dx.doi.org/10.25156/ptj.v10n1y2020.pp130-134.
Texto completoSiangloy, Thitirat y Chairat Charoemratrote. "Incisor and Soft Tissue Characteristics of Adult Bimaxillary Protrusion Patients among Different Skeletal Anteroposterior Classifications". Diagnostics 14, n.º 10 (16 de mayo de 2024): 1031. http://dx.doi.org/10.3390/diagnostics14101031.
Texto completoYun, Jong-Gug. "Mean Curvature Comparison with L1-norms of Ricci Curvature". Canadian Mathematical Bulletin 47, n.º 2 (1 de junio de 2004): 314–20. http://dx.doi.org/10.4153/cmb-2004-030-0.
Texto completoSanchez Lopez, Hector, Yajie Xu, Pulung Nurtantio Andono, Yan Chang y Xiaodong Yang. "Planar Gradient Coil Design Using L1 and L2 Norms". Applied Magnetic Resonance 49, n.º 9 (21 de junio de 2018): 959–73. http://dx.doi.org/10.1007/s00723-018-1020-3.
Texto completoMehta, Harsh. "The L1 norms of de la Vallée Poussin kernels". Journal of Mathematical Analysis and Applications 422, n.º 2 (febrero de 2015): 825–37. http://dx.doi.org/10.1016/j.jmaa.2014.09.018.
Texto completoKalaj, David y Djordjije Vujadinovic. "The Gradient of a Solution of the Poisson Equation in the Unit Ball and Related Operators". Canadian Mathematical Bulletin 60, n.º 3 (1 de septiembre de 2017): 536–45. http://dx.doi.org/10.4153/cmb-2017-020-7.
Texto completoTesis sobre el tema "L1 Norms"
Chakraborti, Nisith Ranjan. "Solution of certain locational problems arising in L1 Norms". Thesis, University of North Bengal, 1994. http://hdl.handle.net/123456789/598.
Texto completoFlint, Alexander. "The effects of interlocutor backchannels and L1 backchannel norms on the speech of L2 English learners". Thesis, University of Oxford, 2016. https://ora.ox.ac.uk/objects/uuid:76ca16c9-20a8-40d3-bc53-e8a05c4cbe00.
Texto completoUgolini, Elisa. "Ricostruzione di immagini in norma L1". Master's thesis, Alma Mater Studiorum - Università di Bologna, 2014. http://amslaurea.unibo.it/6459/.
Texto completoLima, Jose Paulo Rodrigues de. "Representação compressiva de malhas". Universidade de São Paulo, 2014. http://www.teses.usp.br/teses/disponiveis/100/100131/tde-17042014-151933/.
Texto completoData compression is an area of a major interest in computational terms due to the issues on storage and transmission. Particularly, mesh compression has wide usage due to the increase of its application in games and three-dimensional modeling. In recent years, a new theory of acquisition and reconstruction of signals was developed, based on the concept of sparsity and in the minimization of the L1 norm and the incoherency of the signal, called Compressive Sensing (CS). This theory has some remarkable features, such as random sampling and reconstruction by minimization, in a way that the signal acquisition is done by considering only its significant coefficients. Any object that can be interpreted as a sparse sign allows its use. Thus, representing an object sparsely (sounds, images), you can apply the technique of CS. This work explores the viability of CS theory on mesh compression, so that it is possible a representative and compressive sensing on the mesh geometry. In the performed experiments, different parameters and L1 Norm minimization strategies were used. The results show that CS can be used as a mesh geometry compression strategy.
Zayouna, Ammar. "Optical flow estimation using steered-L1 norm". Thesis, Middlesex University, 2016. http://eprints.mdx.ac.uk/21273/.
Texto completoHess, Eric. "Ramp Loss SVM with L1-Norm Regularizaion". VCU Scholars Compass, 2014. http://scholarscompass.vcu.edu/etd/3538.
Texto completoAzaoui, Brahim. "Coconstruction de normes scolaires et contextes d’enseignement : une étude multimodale de l’agir professoral". Thesis, Montpellier 3, 2014. http://www.theses.fr/2014MON30031/document.
Texto completoA considerable body of research has shown interest to teacher action. Though the nonverbal dimension of these actions is acknowledged, few studies have considered it thoroughly in their analysis. Hence, following an ethnographic approach, our work analyzes the verbal and nonverbal actions of two secondary school teachers. Each one teaches both French as an L1 to native speakers and French as a schooling language to non native speakers. This work attempts to assess the effect of the teaching contexts on the teachers' actions, and more specifically on the way they co-Construct school norms (language and interaction norms). It also aims at highlighting the normalizing process invariants from one teaching context to the next.This work relies on the observation and analysis of two types of corpora: video recorded class interaction, transcribed with ELAN, and three different types of videoed confrontations: the teacher's self-Confrontation, students' observation and comments of videoed interactions of their class, and the teacher's confrontation of her students' videoed reflections.We analyzed the norm construction strategies using both a quantitative and a qualitative approach of the verbal and nonverbal productions. We borrowed tools from various fields: enunciative linguistics, discourse analysis, conversation analysis, and micro-Sociology
Shen, Chenyang. "L1-norm local preserving projection and its application". HKBU Institutional Repository, 2012. https://repository.hkbu.edu.hk/etd_ra/1388.
Texto completoGuidi, Anna Beatrice. "Regolarizzazione in norma L1 per l'inversione di dati NMR". Master's thesis, Alma Mater Studiorum - Università di Bologna, 2017. http://amslaurea.unibo.it/14119/.
Texto completoBolognesi, Matteo. "Metodi di Ricostruzione di Immagini mediante regolarizzazione in Norma L1". Master's thesis, Alma Mater Studiorum - Università di Bologna, 2018. http://amslaurea.unibo.it/15770/.
Texto completoLibros sobre el tema "L1 Norms"
Farebrother, Richard William. L1-Norm and L∞-Norm Estimation. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-36300-9.
Texto completoO'Brien, Michael S. High-resolution enhancement of time-series using L1 norm deconvolution. Ottawa: National Library of Canada = Bibliothèque nationale du Canada, 1992.
Buscar texto completoDodge, Yadolah, ed. Statistical Data Analysis Based on the L1-Norm and Related Methods. Basel: Birkhäuser Basel, 2002. http://dx.doi.org/10.1007/978-3-0348-8201-9.
Texto completo1944-, Dodge Yadolah y International Conference on Statistical Data Analysis, (1st : 1987 : Neuchâtel), eds. Statistical data analysis based on the L1-norm and related methods. Amsterdam: North-Holland, 1987.
Buscar texto completoDodge, Yadolah. Statistical Data Analysis Based on the L1-Norm and Related Methods. Basel: Birkhäuser Basel, 2002.
Buscar texto completoservice), SpringerLink (Online, ed. L1-Norm and L∞-Norm Estimation: An Introduction to the Least Absolute Residuals, the Minimax Absolute Residual and Related Fitting Procedures. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013.
Buscar texto completoDodge, Yadolah. Statistical Data Analysis Based on the L1-Norm and Related Methods. Birkhäuser, 2012.
Buscar texto completoDodge, Yadolah. Statistical Data Analysis: Based on the L1-Norm and Related Methods. Elsevier Science Ltd, 1987.
Buscar texto completoFarebrother, Richard. L1-Norm and L-Norm Estimation: An Introduction to the Least Absolute Residuals, the Minimax Absolute Residual and Related Fitting Procedures. Springer, 2013.
Buscar texto completoDodge, Yadolah. Statistical Data Analysis Based on the L1-Norm and Related Methods (Statistics for Industry and Technology). Birkhäuser Basel, 2002.
Buscar texto completoCapítulos de libros sobre el tema "L1 Norms"
Fu, Haoying, Michael K. Ng, Mila Nikolova, Jesse Barlow y Wai-ki Ching. "Fast Algorithms for l1 Norm/Mixed l1 and l2 Norms for Image Restoration". En Computational Science and Its Applications – ICCSA 2005, 843–51. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11424925_88.
Texto completoFarebrother, Richard William. "Introduction". En L1-Norm and L∞-Norm Estimation, 1–3. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-36300-9_1.
Texto completoFarebrother, Richard William. "Point Fitting Problems in One and Two Dimensions". En L1-Norm and L∞-Norm Estimation, 5–9. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-36300-9_2.
Texto completoFarebrother, Richard William. "The Hyperplane Fitting Problem in Two or More Dimensions". En L1-Norm and L∞-Norm Estimation, 11–19. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-36300-9_3.
Texto completoFarebrother, Richard William. "Linear Programming Computations". En L1-Norm and L∞-Norm Estimation, 21–29. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-36300-9_4.
Texto completoFarebrother, Richard William. "Statistical Theory". En L1-Norm and L∞-Norm Estimation, 31–36. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-36300-9_5.
Texto completoFarebrother, Richard William. "The Least Median of Squared Residuals Procedure". En L1-Norm and L∞-Norm Estimation, 37–41. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-36300-9_6.
Texto completoFarebrother, Richard William. "Mechanical Representations". En L1-Norm and L∞-Norm Estimation, 43–56. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-36300-9_7.
Texto completoWang, JinFeng, KinHong Lee y KwongSak Leung. "L1-norm Regularization Based Nonlinear Integrals". En Advances in Neural Networks – ISNN 2009, 201–8. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-01507-6_24.
Texto completoBarthélemy, Jean-Pierre y François Brucker. "Graphs, L1-Metrics and Clustering". En Statistical Data Analysis Based on the L1-Norm and Related Methods, 325–39. Basel: Birkhäuser Basel, 2002. http://dx.doi.org/10.1007/978-3-0348-8201-9_27.
Texto completoActas de conferencias sobre el tema "L1 Norms"
Jiang, Junjun, Zhongyuan Wang, Chen Chen y Tao Lu. "L1-L1 norms for face super-resolution with mixed Gaussian-impulse noise". En 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2016. http://dx.doi.org/10.1109/icassp.2016.7472045.
Texto completoLu, Canyi, Jiashi Feng, Zhouchen Lin y Shuicheng Yan. "Exact Low Tubal Rank Tensor Recovery from Gaussian Measurements". 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.2018/347.
Texto completoRádli, Richárd y László Czúni. "About the Application of Autoencoders For Visual Defect Detection". En WSCG'2021 - 29. International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision'2021. Západočeská univerzita, 2021. http://dx.doi.org/10.24132/csrn.2021.3002.20.
Texto completoRádli, Richárd y László Czúni. "About the Application of Autoencoders For Visual Defect Detection". En WSCG'2021 - 29. International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision'2021. Západočeská univerzita v Plzni, 2021. http://dx.doi.org/10.24132/csrn.2021.3101.20.
Texto completoZhao, Hao-Xin, Hong-Jie Xing, Xi-Zhao Wang y Jun-Fen Chen. "L1-Norm-Based 2DLPP". En 2011 23rd Chinese Control and Decision Conference (CCDC). IEEE, 2011. http://dx.doi.org/10.1109/ccdc.2011.5968382.
Texto completoTsitsikas, Yorgos, Dimitris G. Chachlakis, Evangelos E. Papalexakis y Panos P. Markopoulos. "L1-Norm RESCAL Decomposition". En 2020 54th Asilomar Conference on Signals, Systems, and Computers. IEEE, 2020. http://dx.doi.org/10.1109/ieeeconf51394.2020.9443401.
Texto completoZhong, Fujin. "L1-norm-based (2D)2PCA". En 2nd International Conference on Computer Science and Electronics Engineering (ICCSEE 2013). Paris, France: Atlantis Press, 2013. http://dx.doi.org/10.2991/iccsee.2013.324.
Texto completoMarkopoulos, P. P., N. Tsagkarakis, D. A. Pados y G. N. Karystinos. "Direction finding with L1-norm subspaces". En SPIE Sensing Technology + Applications, editado por Fauzia Ahmad. SPIE, 2014. http://dx.doi.org/10.1117/12.2053049.
Texto completoGUO, RENKUAN y YANGHONG CUI. "GREY RELIABILITY ANALYSIS UNDER L1 NORM". En Proceedings of the 2nd International Workshop (AIWARM 2006). WORLD SCIENTIFIC, 2006. http://dx.doi.org/10.1142/9789812773760_0077.
Texto completoColeman, Christopher M., Scott D. Connell, Edward F. Gabl y James A. Walter. "Minimum L1 norm SAR image formation". En 2012 IEEE Statistical Signal Processing Workshop (SSP). IEEE, 2012. http://dx.doi.org/10.1109/ssp.2012.6319755.
Texto completoInformes sobre el tema "L1 Norms"
Kosut, Robert y Hersch Rabitz. Quantum System Identification via L1-norm Minimization. Fort Belvoir, VA: Defense Technical Information Center, junio de 2011. http://dx.doi.org/10.21236/ada566222.
Texto completoBai, Z. D., X. R. Chen, Y. Wu y L. C. Zhao. Asymptotic Normality of Minimum L1-Norm Estimates in Linear Models. Fort Belvoir, VA: Defense Technical Information Center, septiembre de 1987. http://dx.doi.org/10.21236/ada193399.
Texto completoLai, Ming-Jun y Wotao Yin. Augmented l1 and Nuclear-Norm Models with a Globally Linearly Convergent Algorithm. Revision 1. Fort Belvoir, VA: Defense Technical Information Center, octubre de 2012. http://dx.doi.org/10.21236/ada580580.
Texto completoMascarenas, David D., Rose Long, Metodi Iliev, Kiril Ianakiev y Charles R. Farrar. Nonlinear Signal Processing for Removing Microphonic Noise from Nuclear Spectrometer Measurements: Sparse Linear Modeling via L1 Norm Regularization. Office of Scientific and Technical Information (OSTI), enero de 2013. http://dx.doi.org/10.2172/1060366.
Texto completoMcEntee, Alice, Sonia Hines, Joshua Trigg, Kate Fairweather, Ashleigh Guillaumier, Jane Fischer, Billie Bonevski, James A. Smith, Carlene Wilson y Jacqueline Bowden. Tobacco cessation in CALD communities. The Sax Institute, junio de 2022. http://dx.doi.org/10.57022/sneg4189.
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