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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 on May 18th, 2021 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 on May 11th, 2021 0 likes 1 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 on May 11th, 2021 0 likes 5 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 on May 5th, 2021 0 likes 42 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 on April 22nd, 2021 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 on April 20th, 2021 0 likes 1 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 on March 21st, 2021 0 likes 35 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 on March 20th, 2021 1 likes 129 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 on March 20th, 2021 1 likes 106 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 on March 15th, 2021 0 likes 18 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 on March 11th, 2021 0 likes 4 plays 0
45:10 QandA-proj3 finalB QandA-proj3 finalB	QandA-proj3 finalB matrix question questions problem dictionary equation variables transpose problems inverse polar equations class optimization conditions slackness feasibility hint plane cone From Jesus De Loera on March 10th, 2021 0 likes 28 plays 0
53:05 QandA-proj3 finalA QandA-proj3 finalA	QandA-proj3 finalA variables problem matrix dictionary function minus problems notation questions polyhedron inverse dimension solution column cost thing direction hint guys side From Jesus De Loera on March 10th, 2021 0 likes 31 plays 0
01:00:03 ECS 235B, Winter 2021; Lecture #26; March 8, 2021 ECS 235B, Winter 2021; Lecture #26; March 8, 2021	ECS 235B, Winter 2021; Lecture #26; March 8, 2021 Foundations of Computer and Information Security. This covers isolation and detection of covert channels using noninterference and the shared resource matrix methodology. The class starts at 8:49… channel object level things segment receiver sender channels bit process memory sequence sigma instruction access matrix attributes timing quantum interference From Matt Bishop on March 8th, 2021 0 likes 8 plays 0
32:54 LP Polyhedra-Lec13 LP Polyhedra-Lec13	LP Polyhedra-Lec13 perturbation method, complexity of simplex method, primal and dual dictionaries. polyhedra matrix variables dictionary method simplex function basis epsilon solution numbers slack problem variable algorithm algorithms linear expression rule inverse expressions From Jesus De Loera on March 7th, 2021 0 likes 11 plays 0
39:38 LP Polyhedra-Lec10 LP Polyhedra-Lec10	LP Polyhedra-Lec10 The simplex method polyhedra variables solution equation function matrix x2 x1 solutions s3 method increment x3 s1 left halves problem times variable rank vertices From Jesus De Loera on March 6th, 2021 0 likes 29 plays 0