Showing results 1314 to 1333 of 3014
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Title | Author(s) | Issue Date | Views | |
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L-SVRG and L-Katyusha with Arbitrary Sampling Journal:Journal of Machine Learning Research | 2021 | 14 | ||
L0-norm and total variation for wavelet inpainting Proceeding/Conference:Scale Space and Variational Methods in Computer Vision: Second International Conference, SSVM 2009, Voss, Norway, June 1-5, 2009: Proceedings | 2009 | 21 | ||
L_p-Polar Projection Brunn-Minkowski Inequality Journal:Chinese Annals of Mathematics | 2010 | 48 | ||
Lanczos method for large-scale quaternion singular value decomposition Journal:Numerical Algorithms | 2019 | 19 | ||
A large sieve inequality of elliott-montgomery-vaughan type for automorphic forms and two applications Journal:International Mathematics Research Notices | 2008 | 187 | ||
Large values of error terms of a class of arithmetical functions Journal:Journal fur die Reine und Angewandte Mathematik | 2002 | 238 | ||
The large values of the Riemann zeta-function Journal:Mathematika | 1993 | 155 | ||
Lattice-based patterned fabric inspection by using total variation with sparsity and low-rank representations Journal:SIAM Journal on Imaging Sciences | 2017 | 21 | ||
Learning discriminative correlation subspace for heterogeneous domain adaptation Proceeding/Conference:International Joint Conference on Artificial Intelligence (IJCAI) | 2017 | |||
Learning Interpretable Concept Groups in CNNs Proceeding/Conference:IJCAI International Joint Conference on Artificial Intelligence | 2021 | |||
Learning Rates for Stochastic Gradient Descent with Nonconvex Objectives Journal:IEEE Transactions on Pattern Analysis and Machine Intelligence | 21-Mar-2021 | |||
Learning theory of randomized sparse Kaczmarz method Journal:SIAM Journal on Imaging Sciences | 2018 | |||
Learning Transferred Weights from Co-Occurrence Data for Heterogeneous Transfer Learning Journal:IEEE Transactions on Neural Networks and Learning Systems | 2016 | |||
Least cost route planning DSS for telecommunication operators Journal:International Journal of Applied Management Science 2008 | 2008 | 142 | ||
Lecture 1: Introduction to computational neuroscience Proceeding/Conference:Lecture Series — How can Mathematics and Computational Models Help to Understand the Brain? | 2013 | |||
Lecture 2: Stochastic Spiking in Neuron Models Proceeding/Conference:Lecture Series — How can Mathematics and Computational Models Help to Understand the Brain? | 2013 | |||
Lecture 3: Models of Brain Circuits and Cognitive Functions Proceeding/Conference:Lecture Series — How can Mathematics and Computational Models Help to Understand the Brain? | 2013 | 49 | ||
Lessons in mathematics and astronomy in the court of Emperor Kangxi Proceeding/Conference:Second International Conference on the History of Mathematics Education | 2011 | |||
Let them speak; hear them speak - old Chinese wisdom on mathematics education Proceeding/Conference:Dig Where You Stand 5: Proceedings of the Fifth International Conference on the History of Mathematics Education, September 19-22, 2017, at Utrecht University, the Netherlands | 2019 | 26 | ||
1997 | 220 |