Search for tag: "kernel"

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03:11 Likun Zhang EVA Talk Preview Likun Zhang EVA Talk Preview	Likun Zhang EVA Talk Preview This talk has captions. You can remove these by pressing CC on the video toolbar. Name: Likun Zhang Talk Title: Spatial scale-aware tail dependence modeling for high-dimensional spatial extremes… icms eva theory solution model data spatial extremes events scale-aware tail modelling dependence domain factor mixture models class processes range assumptions function kernel space result parameter ai scale measure extremeness From Anna Munro on May 25th, 2021 0 likes 4 plays 0 Licence Type All rights reserved Language English
03:37 Jochem Oorschot EVA Talk Preview Jochem Oorschot EVA Talk Preview	Jochem Oorschot EVA Talk Preview This talk has captions. You can remove these by pressing CC on the video toolbar. Name: Jochem Oorschot Talk Title: Extreme U-statistics Abstract: Extreme U-statistics (joint work with Johan Segers… extremes statistics notion averages estimators theory solution eva icms sequences kernel gamma function estimator variance block statistic observations proportionality relation hill expectation infinity size sample talk methods From Anna Munro on May 25th, 2021 0 likes 5 plays 0 Licence Type All rights reserved Language English
21:09 Sensitive dependence on molecular interactions of… Sensitive dependence on molecular interactions of length scales in sheared soft matter - Alberto Scacchi	Sensitive dependence on molecular interactions of length scales in sheared soft matter - Alberto Scacchi New directions in classical density functional theory online workshop 3 - 6 May 2021 Alberto Scacchi (Department of Chemistry and Materials, Aalto University) Sensitive dependence on molecular… mathematics function rate length potential term relation kernel shear bit flow dispersion equation scale density form dtft peaks scales model particle From GILLIAN KERR on May 5th, 2021 0 likes 11 plays 0 Licence Type All rights reserved Language english Date Created May 5th, 2021
55:50 19 April 2021: Andreas Veeser (Università… 19 April 2021: Andreas Veeser (Università degli Studi di Milano) - Accurate error bounds and equivalence of seminorms	19 April 2021: Andreas Veeser (Università degli Studi di Milano) - Accurate error bounds and equivalence of seminorms The subtitles/captions on this talk are being edited. They will be available within 2 weeks of the talk being published. 19 April 2021Andreas Veeser (Università degli Studi di Milano) -… one world numerical numerical analysis space approximation operator problem solution method mesh norm question side hand error approach kernel discretization result spaces linear element inequality From OLLIE Quinn on April 29th, 2021 0 likes 20 plays 0 Licence Type All rights reserved Language English Date Created April 19th, 2021
50:22 Mu Niu (University of Glasgow) INTRINSIC GAUSSIAN… Mu Niu (University of Glasgow) INTRINSIC GAUSSIAN PROCESSES ON NONLINEAR MANIFOLDS AND POINT CLOUDS	Mu Niu (University of Glasgow) INTRINSIC GAUSSIAN PROCESSES ON NONLINEAR MANIFOLDS AND POINT CLOUDS 19 February 2021Mu Niu (University of Glasgow) INTRINSIC GAUSSIAN PROCESSES ON NONLINEAR MANIFOLDS AND POINT CLOUDSWe propose a class of intrinsic Gaussian processes (GPs) for interpolation,… statistics research space function kernel manifold gp prediction motion points point distance method manifolds probability heat neighbourhood matrix estimation observation geometry process From OLLIE Quinn on March 1st, 2021 0 likes 23 plays 0 Licence Type All rights reserved Language English Date Created March 19th, 2021
56:23 Matrix valued orthogonality in a random tiling… Matrix valued orthogonality in a random tiling problem - Arno Kuijlaars	Matrix valued orthogonality in a random tiling problem - Arno Kuijlaars VISS online seminar series Matrix valued orthogonality in a random tiling problem Arno Kuijlaars (KU Leuven) 17 February 2021 To remove the captions from this video press CC on the bottom toolbar. … mathematics matrix weight model times polynomials paths tiling level diamond region contour problem transition alpha formula size beta periodicity kernel analysis From GILLIAN KERR on February 17th, 2021 0 likes 18 plays 0 Licence Type All rights reserved Language english Date Created February 17th, 2021
32:12 REF2020: Hua Xing Zhu- TMD PDFs and FFs N3LO,… REF2020: Hua Xing Zhu- TMD PDFs and FFs N3LO, Analytic Continuation, and Reciprocity	REF2020: Hua Xing Zhu- TMD PDFs and FFs N3LO, Analytic Continuation, and Reciprocity REF2020: Hua Xing Zhu- TMD PDFs and FFs N3LO, Analytic Continuation, and Reciprocity higgs centre ref2020 space function fragmentation timeline tau formula phase tmd law kernel regulator rapidity reciprocity momentum moment level coefficient paper functions problem From Lyndsey Ballantyne on December 11th, 2020 0 likes 5 plays 0 Licence Type All rights reserved The University of Edinburgh Date Created December 8th, 2020
27:31 The mapping class group of connect sums of… The mapping class group of connect sums of S2×S1 - Tara Brendle	The mapping class group of connect sums of S2×S1 - Tara Brendle Geometry and Topology online seminar series The mapping class group of connect sums of S2×S1 Tara Brendle (Glasgow) 3 December 2020 mathematics geometry topology sphere manifold action twist class mapping twists trivialization kernel cross manifolds homomorphism sequence space groups actions maps frame point fact From GILLIAN KERR on December 3rd, 2020 0 likes 14 plays 0 Licence Type All rights reserved Language english Date Created December 3rd, 2020
38:10 South East Mathematical Physics Seminars: Harini… South East Mathematical Physics Seminars: Harini Desiraju	South East Mathematical Physics Seminars: Harini Desiraju Subtitles are being edited. To turn these off please select "cc". function functions problem determinant form equation jump solution equations infinity circle kernel solutions contour operators problems structure cylinder half diagram From DIANE HORBERRY on November 18th, 2020 0 likes 48 plays 0 Publisher Liam Holligan Licence Type All rights reserved Language English Date Created November 17th, 2020
02:24 MLP Lecture 08 - Clip 03 - Gradients w.r.t. Inputs MLP Lecture 08 - Clip 03 - Gradients w.r.t. Inputs	MLP Lecture 08 - Clip 03 - Gradients w.r.t. Inputs Machine Learning Practical (MLP) Lecture 08, Clip 03 / 05. machine learning deep learning gradient convolution input kernel layer From Pavlos Andreadis on November 9th, 2020 1 likes 133 plays 0 Course Code INFR11132 Licence Type All rights reserved Language English
04:49 MLP Lecture 08 - Clip 01 - Dilated Convolutions MLP Lecture 08 - Clip 01 - Dilated Convolutions	MLP Lecture 08 - Clip 01 - Dilated Convolutions Machine Learning Practical (MLP) Lecture 08, Clip 01 / 05. machine learning deep learning pixels size kernel unit convolution operation times field layers units layer computations patch thing weights transformations functions end padding pixel From Pavlos Andreadis on November 9th, 2020 1 likes 184 plays 0 Course Code INFR11132 Licence Type All rights reserved Language English
55:00 MLP Lecture 08 - Convolutional Neural Networks… MLP Lecture 08 - Convolutional Neural Networks (2) - 2019 temp version	MLP Lecture 08 - Convolutional Neural Networks (2) - 2019 temp version Machine Learning Practical (MLP) Lecture 08, temporary 2019-20 live version. machine learning deep learning convolution layers inputs output gradients kernel weights error From Pavlos Andreadis on November 9th, 2020 1 likes 260 plays 0 Course Code INFR11132 Licence Type All rights reserved Language English
24:52 Waves in Complex Continua (Wavinar) - Matthew… Waves in Complex Continua (Wavinar) - Matthew Nethercote	Waves in Complex Continua (Wavinar) - Matthew Nethercote This talk has captions: You can remove the subtitles by pressing CC on the bottom toolbar. Captions are currently being edited to reflect the lecture. Matthew Nethercote, (University of Manchester,… icms wave array convergence formula kernel coefficients solution wedge scattering technique equation resonance systems approximation circle equations incident conditions scheme method From Liam Holligan on November 4th, 2020 0 likes 26 plays 0 Publisher Liam Holligan Licence Type All rights reserved Language English Date Created November 3rd, 2020
53:43 MLP Q&A 2 - Session 3 (Week 7) MLP Q&A 2 - Session 3 (Week 7)	MLP Q&A 2 - Session 3 (Week 7) Machine Learning Practical Q&A 2 - Session 3 (Week 7). machine learning deep learning things image network kernel convolution question output fan From Pavlos Andreadis on November 3rd, 2020 1 likes 36 plays 0 Course Code INFR11132 Licence Type All rights reserved Language English
04:19 MLP Lecture 07 - Clip 09 - a Short History of CNNs MLP Lecture 07 - Clip 09 - a Short History of CNNs	MLP Lecture 07 - Clip 09 - a Short History of CNNs Machine Learning Practical (MLP) Lecture 07, Clip 09 / 09. machine learning deep learning times maps feature network size image nets class performance networks kernel features gradients lecture layers probability classes error classification model From Pavlos Andreadis on November 2nd, 2020 1 likes 161 plays 0 Course Code INFR11132 Licence Type All rights reserved Language English
02:39 MLP Lecture 07 - Clip 08 - Learning Image Kernels MLP Lecture 07 - Clip 08 - Learning Image Kernels	MLP Lecture 07 - Clip 08 - Learning Image Kernels Machine Learning Practical (MLP) Lecture 07, Clip 08 / 09. machine learning deep learning image kernels cat pixels kernel feature transformation hierarchy weight grayscale detection edge values contrast outputs input layer net training examples From Pavlos Andreadis on November 2nd, 2020 1 likes 171 plays 0 Course Code INFR11132 Licence Type All rights reserved Language English

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