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Artykuły w czasopismach na temat "L1 Norms"
Arens, Richard, i Moshe Goldberg. "Multilinear operators and weighted l1 norms". Linear Algebra and its Applications 267 (grudzień 1997): 1–10. http://dx.doi.org/10.1016/s0024-3795(97)80039-0.
Pełny tekst źródłaFu, Haoying, Michael K. Ng, Mila Nikolova i Jesse L. Barlow. "Efficient Minimization Methods of Mixed l2-l1 and l1-l1 Norms for Image Restoration". SIAM Journal on Scientific Computing 27, nr 6 (styczeń 2006): 1881–902. http://dx.doi.org/10.1137/040615079.
Pełny tekst źródłaQi, Jinshan, Xun Liang i 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.
Pełny tekst źródłaYun, Jong-Gug. "Comparison Geometry With L1-Norms of Ricci Curvature". Canadian Mathematical Bulletin 49, nr 1 (1.03.2006): 152–60. http://dx.doi.org/10.4153/cmb-2006-016-2.
Pełny tekst źródłaMustafa Chalabee, Botan A., i Bayan A. Hassan. "Cephalometric Norms of Erbil Kurdish Adults". Polytechnic Journal 10, nr 1 (30.06.2020): 130–34. http://dx.doi.org/10.25156/ptj.v10n1y2020.pp130-134.
Pełny tekst źródłaSiangloy, Thitirat, i Chairat Charoemratrote. "Incisor and Soft Tissue Characteristics of Adult Bimaxillary Protrusion Patients among Different Skeletal Anteroposterior Classifications". Diagnostics 14, nr 10 (16.05.2024): 1031. http://dx.doi.org/10.3390/diagnostics14101031.
Pełny tekst źródłaYun, Jong-Gug. "Mean Curvature Comparison with L1-norms of Ricci Curvature". Canadian Mathematical Bulletin 47, nr 2 (1.06.2004): 314–20. http://dx.doi.org/10.4153/cmb-2004-030-0.
Pełny tekst źródłaSanchez Lopez, Hector, Yajie Xu, Pulung Nurtantio Andono, Yan Chang i Xiaodong Yang. "Planar Gradient Coil Design Using L1 and L2 Norms". Applied Magnetic Resonance 49, nr 9 (21.06.2018): 959–73. http://dx.doi.org/10.1007/s00723-018-1020-3.
Pełny tekst źródłaMehta, Harsh. "The L1 norms of de la Vallée Poussin kernels". Journal of Mathematical Analysis and Applications 422, nr 2 (luty 2015): 825–37. http://dx.doi.org/10.1016/j.jmaa.2014.09.018.
Pełny tekst źródłaKalaj, David, i Djordjije Vujadinovic. "The Gradient of a Solution of the Poisson Equation in the Unit Ball and Related Operators". Canadian Mathematical Bulletin 60, nr 3 (1.09.2017): 536–45. http://dx.doi.org/10.4153/cmb-2017-020-7.
Pełny tekst źródłaRozprawy doktorskie na temat "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.
Pełny tekst źródłaFlint, 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.
Pełny tekst źródłaUgolini, Elisa. "Ricostruzione di immagini in norma L1". Master's thesis, Alma Mater Studiorum - Università di Bologna, 2014. http://amslaurea.unibo.it/6459/.
Pełny tekst źródłaLima, 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/.
Pełny tekst źródłaData 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/.
Pełny tekst źródłaHess, Eric. "Ramp Loss SVM with L1-Norm Regularizaion". VCU Scholars Compass, 2014. http://scholarscompass.vcu.edu/etd/3538.
Pełny tekst źródłaAzaoui, 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.
Pełny tekst źródłaA 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.
Pełny tekst źródłaGuidi, 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/.
Pełny tekst źródłaBolognesi, 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/.
Pełny tekst źródłaKsiążki na temat "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.
Pełny tekst źródłaO'Brien, Michael S. High-resolution enhancement of time-series using L1 norm deconvolution. Ottawa: National Library of Canada = Bibliothèque nationale du Canada, 1992.
Znajdź pełny tekst źródłaDodge, Yadolah, red. 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.
Pełny tekst źródła1944-, Dodge Yadolah, i International Conference on Statistical Data Analysis, (1st : 1987 : Neuchâtel), red. Statistical data analysis based on the L1-norm and related methods. Amsterdam: North-Holland, 1987.
Znajdź pełny tekst źródłaDodge, Yadolah. Statistical Data Analysis Based on the L1-Norm and Related Methods. Basel: Birkhäuser Basel, 2002.
Znajdź pełny tekst źródłaservice), SpringerLink (Online, red. 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.
Znajdź pełny tekst źródłaDodge, Yadolah. Statistical Data Analysis Based on the L1-Norm and Related Methods. Birkhäuser, 2012.
Znajdź pełny tekst źródłaDodge, Yadolah. Statistical Data Analysis: Based on the L1-Norm and Related Methods. Elsevier Science Ltd, 1987.
Znajdź pełny tekst źródłaFarebrother, Richard. L1-Norm and L-Norm Estimation: An Introduction to the Least Absolute Residuals, the Minimax Absolute Residual and Related Fitting Procedures. Springer, 2013.
Znajdź pełny tekst źródłaDodge, Yadolah. Statistical Data Analysis Based on the L1-Norm and Related Methods (Statistics for Industry and Technology). Birkhäuser Basel, 2002.
Znajdź pełny tekst źródłaCzęści książek na temat "L1 Norms"
Fu, Haoying, Michael K. Ng, Mila Nikolova, Jesse Barlow i Wai-ki Ching. "Fast Algorithms for l1 Norm/Mixed l1 and l2 Norms for Image Restoration". W Computational Science and Its Applications – ICCSA 2005, 843–51. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11424925_88.
Pełny tekst źródłaFarebrother, Richard William. "Introduction". W 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.
Pełny tekst źródłaFarebrother, Richard William. "Point Fitting Problems in One and Two Dimensions". W 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.
Pełny tekst źródłaFarebrother, Richard William. "The Hyperplane Fitting Problem in Two or More Dimensions". W 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.
Pełny tekst źródłaFarebrother, Richard William. "Linear Programming Computations". W 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.
Pełny tekst źródłaFarebrother, Richard William. "Statistical Theory". W 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.
Pełny tekst źródłaFarebrother, Richard William. "The Least Median of Squared Residuals Procedure". W 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.
Pełny tekst źródłaFarebrother, Richard William. "Mechanical Representations". W 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.
Pełny tekst źródłaWang, JinFeng, KinHong Lee i KwongSak Leung. "L1-norm Regularization Based Nonlinear Integrals". W 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.
Pełny tekst źródłaBarthélemy, Jean-Pierre, i François Brucker. "Graphs, L1-Metrics and Clustering". W 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.
Pełny tekst źródłaStreszczenia konferencji na temat "L1 Norms"
Jiang, Junjun, Zhongyuan Wang, Chen Chen i Tao Lu. "L1-L1 norms for face super-resolution with mixed Gaussian-impulse noise". W 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2016. http://dx.doi.org/10.1109/icassp.2016.7472045.
Pełny tekst źródłaLu, Canyi, Jiashi Feng, Zhouchen Lin i Shuicheng Yan. "Exact Low Tubal Rank Tensor Recovery from Gaussian Measurements". W 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.
Pełny tekst źródłaRádli, Richárd, i László Czúni. "About the Application of Autoencoders For Visual Defect Detection". W 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.
Pełny tekst źródłaRádli, Richárd, i László Czúni. "About the Application of Autoencoders For Visual Defect Detection". W 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.
Pełny tekst źródłaZhao, Hao-Xin, Hong-Jie Xing, Xi-Zhao Wang i Jun-Fen Chen. "L1-Norm-Based 2DLPP". W 2011 23rd Chinese Control and Decision Conference (CCDC). IEEE, 2011. http://dx.doi.org/10.1109/ccdc.2011.5968382.
Pełny tekst źródłaTsitsikas, Yorgos, Dimitris G. Chachlakis, Evangelos E. Papalexakis i Panos P. Markopoulos. "L1-Norm RESCAL Decomposition". W 2020 54th Asilomar Conference on Signals, Systems, and Computers. IEEE, 2020. http://dx.doi.org/10.1109/ieeeconf51394.2020.9443401.
Pełny tekst źródłaZhong, Fujin. "L1-norm-based (2D)2PCA". W 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.
Pełny tekst źródłaMarkopoulos, P. P., N. Tsagkarakis, D. A. Pados i G. N. Karystinos. "Direction finding with L1-norm subspaces". W SPIE Sensing Technology + Applications, redaktor Fauzia Ahmad. SPIE, 2014. http://dx.doi.org/10.1117/12.2053049.
Pełny tekst źródłaGUO, RENKUAN, i YANGHONG CUI. "GREY RELIABILITY ANALYSIS UNDER L1 NORM". W Proceedings of the 2nd International Workshop (AIWARM 2006). WORLD SCIENTIFIC, 2006. http://dx.doi.org/10.1142/9789812773760_0077.
Pełny tekst źródłaColeman, Christopher M., Scott D. Connell, Edward F. Gabl i James A. Walter. "Minimum L1 norm SAR image formation". W 2012 IEEE Statistical Signal Processing Workshop (SSP). IEEE, 2012. http://dx.doi.org/10.1109/ssp.2012.6319755.
Pełny tekst źródłaRaporty organizacyjne na temat "L1 Norms"
Kosut, Robert, i Hersch Rabitz. Quantum System Identification via L1-norm Minimization. Fort Belvoir, VA: Defense Technical Information Center, czerwiec 2011. http://dx.doi.org/10.21236/ada566222.
Pełny tekst źródłaBai, Z. D., X. R. Chen, Y. Wu i L. C. Zhao. Asymptotic Normality of Minimum L1-Norm Estimates in Linear Models. Fort Belvoir, VA: Defense Technical Information Center, wrzesień 1987. http://dx.doi.org/10.21236/ada193399.
Pełny tekst źródłaLai, Ming-Jun, i Wotao Yin. Augmented l1 and Nuclear-Norm Models with a Globally Linearly Convergent Algorithm. Revision 1. Fort Belvoir, VA: Defense Technical Information Center, październik 2012. http://dx.doi.org/10.21236/ada580580.
Pełny tekst źródłaMascarenas, David D., Rose Long, Metodi Iliev, Kiril Ianakiev i 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), styczeń 2013. http://dx.doi.org/10.2172/1060366.
Pełny tekst źródłaMcEntee, Alice, Sonia Hines, Joshua Trigg, Kate Fairweather, Ashleigh Guillaumier, Jane Fischer, Billie Bonevski, James A. Smith, Carlene Wilson i Jacqueline Bowden. Tobacco cessation in CALD communities. The Sax Institute, czerwiec 2022. http://dx.doi.org/10.57022/sneg4189.
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