Search for tag: "convolution"

Uwe Franz The discrete Weyl relations and completely positive maps

Applied matrix positivityUwe Franz The discrete Weyl relations and completely positive maps This recording is in the process of being subtitled. Subtitles will be available in due course.

From  Greg McCracken 0 likes 15 plays 0  

Spatial Extremes: Anders Rønn-Nielsen

This talk has been automatically captioned. You can remove these by pressing CC on the video toolbar. Name: Anders Rønn-Nielsen Talk Title: Extreme value theory for spatial random…

From  Belle Taylor 0 likes 40 plays 0  

REF2020: Georgios Billis- QCD+QED qT Factorization for Z/W production and decay

REF2020: Georgios Billis- QCD+QED qT Factorization for Z/W production and decay

From  Lyndsey Ballantyne 0 likes 26 plays 0  

Topic 75: Difference Equation Analysis of Input-Output Time-Domain Statistics (PETARS, Chapter 10)

This topic considers extending previous topics on calculating the input-output statistics of a linear time-invariant (LTI) system in response to a wide-sense stationary (WSS) process at the…

From  James Hopgood 0 likes 100 plays 0  

Topic 72: Time-Domain Analysis of Response to Random Signals using the System Impulse Response (PETARS, Chapter 10)

This video looks at the method for calculating the output statistics for a linear time-invariant (LTI) system in response to a wide-sense stationary (WSS) input using a time-domain method given…

From  James Hopgood 0 likes 165 plays 0  

MLP Lecture 08 - Clip 03 - Gradients w.r.t. Inputs

Machine Learning Practical (MLP) Lecture 08, Clip 03 / 05.

From  Pavlos Andreadis 1 likes 420 plays 0  

MLP Lecture 08 - Clip 02 - Gradients w.r.t. Weights

Machine Learning Practical (MLP) Lecture 08, Clip 02 / 05.

From  Pavlos Andreadis 1 likes 465 plays 0  

MLP Lecture 08 - Clip 01 - Dilated Convolutions

Machine Learning Practical (MLP) Lecture 08, Clip 01 / 05.

From  Pavlos Andreadis 1 likes 532 plays 0  

MLP Lecture 08 - Convolutional Neural Networks (2) - 2019 temp version

Machine Learning Practical (MLP) Lecture 08, temporary 2019-20 live version.

From  Pavlos Andreadis 1 likes 526 plays 0  

MLP Q&A 2 - Session 3 (Week 7)

Machine Learning Practical Q&A 2 - Session 3 (Week 7).

From  Pavlos Andreadis 1 likes 39 plays 0  

MLP Lecture 07 - Clip 07 - Pooling/Subsampling

Machine Learning Practical (MLP) Lecture 07, Clip 07 / 09.

From  Pavlos Andreadis 1 likes 532 plays 0  

MLP Lecture 07 - Clip 03 - Example

Machine Learning Practical (MLP) Lecture 07, Clip 03 / 09.

From  Pavlos Andreadis 2 likes 603 plays 0  

MLP Lecture 07 - Clip 02 - What are Convolutions?

Machine Learning Practical (MLP) Lecture 07, Clip 02 / 09.

From  Pavlos Andreadis 1 likes 637 plays 0  

Topic 40: Sum of Independent Random Variables (PETARS, Chapter 5)

This Topic considers further the sum of random variables that was introduced in Topic 33 on auxiliary variables. The case of independent random variables and vectors is considered specifically,…

From  James Hopgood 0 likes 295 plays 0  

Locally analytic representations of p-adic groups talk 2 - Nicolas Dupre

LMS Autumn Algebra school Locally analytic representations of p-adic groups - talk 2 Nicolas Dupre 6 October 2020 An automated programme is used to generate the subtitles on this talk. You can…

From  GILLIAN KERR 0 likes 33 plays 0  

S Gunningham

Sam Gunningham: The Springer correspondence

From  Greg McCracken 0 likes 25 plays 0