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50:39 2021-10-01: Representation and projection of… 2021-10-01: Representation and projection of cones and polyhedra	2021-10-01: Representation and projection of cones and polyhedra Videos and all other materials are copyright 2021 Matthias Köppe and shared as Open Educational Resources subject to the Creative Commons Attribution-ShareAlike 3.0 Unported (CC BY-SA 3.0)… linear cone cones convex thing space multipliers theorem basis subspace coefficient generators vector times maps category matrix elimination lambda polyhedron From Matthias Koeppe 0 likes 1 plays 0
50:50 2021-10-08: Hilbert bases of cones, integer… 2021-10-08: Hilbert bases of cones, integer Carathéodory theorem	2021-10-08: Hilbert bases of cones, integer Carathéodory theorem Videos and all other materials are copyright 2021 Matthias Köppe and shared as Open Educational Resources subject to the Creative Commons Attribution-ShareAlike 3.0 Unported (CC BY-SA 3.0)… monoid lattice basis cone integer thing cones dimension times question structure generators points operation saturation guy theorem column matrix lambda From Matthias Koeppe 0 likes 1 plays 0
46:06 ECS 235A Fall Quarter 2021, Lecture 13, October… ECS 235A Fall Quarter 2021, Lecture 13, October 20, 2021	ECS 235A Fall Quarter 2021, Lecture 13, October 20, 2021 This is the video of the thirteenth lecture. It's crude as I made it from my laptop, as the room has no video recording. Ah, well . . . access capability control process systems operating capabilities permissions permission lists key entry segment thing problem object owner acls lot matrix From Matt Bishop 0 likes 6 plays 0
47:37 ECS 235A Fall Quarter 2021, Lecture 3, September… ECS 235A Fall Quarter 2021, Lecture 3, September 27, 2021	ECS 235A Fall Quarter 2021, Lecture 3, September 27, 2021 This is the video of the third lecture. It's crude as I made it from my laptop, as the room has no video recording. Again. model access control process copy things object thing matrix confidentiality linux commands systems rules lot problem questions command owner ownership From Matt Bishop 0 likes 9 plays 0
42:29 Meeting 5-18-21: Neural Engineering Framework Meeting 5-18-21: Neural Engineering Framework	Meeting 5-18-21: Neural Engineering Framework Algorithmic Frameworks for Neuromorphic Computing: Neural Engineering Framework (NEF) Luis El Srouji gives an overview and explanation of the Neural Engineering Framework which can calculate weight… neuromorphic neuroscience spiking neural networks vector neurons ensemble neuron activity function vectors input direction transformations radius model framework x. dimensions values matrix space representation population From Luis El Srouji 0 likes 10 plays 0
47:29 abiy.tasissa.5.11 abiy.tasissa.5.11	abiy.tasissa.5.11 Abstract: Sparse Manifold clustering and embedding (SMCE) is an algorithm to cluster nonlinear manifolds using self-representation in the dictionary of data points and a proximity regularization. A… points point problem atoms clustering coefficients dictionary reconstruction subspace algorithm graph sparsity coefficient network matrix representations linear representation manifold triangulation From Stefan Schonsheck 0 likes 4 plays 0
04:58 A Riemannian Geometric Approach to Blind Signal… A Riemannian Geometric Approach to Blind Signal Recovery for Grant Free Radio Network Access	A Riemannian Geometric Approach to Blind Signal Recovery for Grant Free Radio Network Access Sensing, Imaging and Signal Processing 14 Team Lead: Carlos Feres Advisor: Prof. Ding space recovery manifold matrix sources approach sample cross problem signals interference db tangent function cost optimization signal channel success probability From Femi-Jide Akinmoladun 0 likes 8 plays 0
29:14 VEN290 - Wine matrix effects on smoke taint… VEN290 - Wine matrix effects on smoke taint expression	VEN290 - Wine matrix effects on smoke taint expression Exit seminar by Andrew Mihm, MS candidate in Viticulture and Enology. smoke wine matrix compounds study levels fruit australia impact call threshold phenols effects wind percent alcohol bottle winds cultivars gua From Dario Cantu 0 likes 44 plays 0
59:56 braxton.osting.4.20 braxton.osting.4.20	braxton.osting.4.20 Archetypal analysis is an unsupervised learning method that uses a convex polytope to summarize multivariate data. For fixed k, the method finds a convex polytope with k vertices, called archetype… points problem triangle analysis archetype convex vertices polytope consistency distance method point rate bit distribution result solution space dimension matrix From Stefan Schonsheck 0 likes 0 plays 0
01:22:49 Meeting 4-20-21: Diamond Mesh MZI-based Optical… Meeting 4-20-21: Diamond Mesh MZI-based Optical Processor	Meeting 4-20-21: Diamond Mesh MZI-based Optical Processor Dr. Farhad Shokraneh goes over his recent work on an optical processor for neural networks, and describes the features which make this architecture more fault- and loss-tolerant than other similar… neural networks photonics mesh phase structure matrix diamond structures output shifters loss backpropagation errors process network mci eyes question amount accuracy intensity power From Luis El Srouji 0 likes 1 plays 0
48:26 mat133-2021-04-12-replication--complete-markets--f… mat133-2021-04-12-replication--complete-markets--forward-contracts	mat133-2021-04-12-replication--complete-markets--forward-contracts Replication, complete markets, forward contracts. mat133-2021s-notes-2021-04-12.pdf Videos and all other materials are copyright 2021 Matthias Köppe and shared as Open Educational Resources… stock model market portfolio risk bit investor certificate contract instruments money matrix payment diagram things thing asset algebra theorem stream From Matthias Koeppe 0 likes 41 plays 0
07:33 ECS 220 1b:2.4 the importance of being polynomial ECS 220 1b:2.4 the importance of being polynomial	ECS 220 1b:2.4 the importance of being polynomial problems choices complexity class decision times degree factor length algorithm language textbook computer computation matrix adjacency node nodes poly constants From David Doty 0 likes 37 plays 0
09:04 ECS 120 7a:2 definition of P, encoding of data… ECS 120 7a:2 definition of P, encoding of data structures	ECS 120 7a:2 definition of P, encoding of data structures size bits elements encoding expansion bit adjacency graph length algorithm matrix string log strings encodings element factor binary notion class From David Doty 1 likes 213 plays 0
07:44 ECS 120 6c:1 TMs versus code ECS 120 6c:1 TMs versus code	ECS 120 6c:1 TMs versus code string v1 v3 v2 language programming objects machines turing matrix graph lot languages level row adjacency nodes strings assembly machine From David Doty 1 likes 174 plays 0
01:00:41 lastQ&A.mp4 lastQ&A.mp4	lastQ&A.mp4 polyhedron question solution problem points variables dictionary point direction vectors side vector matrix equation equations problems fact b. screen questions From Jesus De Loera 0 likes 21 plays 0
57:42 ECS 235B, Winter 2021; Lecture #27; March 10, 2021 ECS 235B, Winter 2021; Lecture #27; March 10, 2021	ECS 235B, Winter 2021; Lecture #27; March 10, 2021 Foundations of Computer and Information Security. This covers detecting, analyzing, and mitigation covert channels. The class starts at 7:37 into the video. channel channels recognition capacity buffer variable probability operation process attribute goal lot things variables output input modification thing matrix pump From Matt Bishop 0 likes 4 plays 0