Search for tag: "representation"

Stage 5 Part 3: Interrogating Results

From  Erica Bender 0 likes 1 plays 0  

Stefan Schonsheck P.h.D. - Representation of Non-Euclidean Domains and Analysis of Signals Thereon

CeDAR (Center for Data science and Artificial intelligence Research) and UCD4IDS (UC Davis TETRAPODS Institute for Data Science) held their first joint conference in person on Friday, December 2,…

From  Hasina Mamtaz 0 likes 6 plays 0  

Tutorial on Determining Clusters

From  Ozcan Gulacar 0 likes 5 plays 0  

Hierarchical Training for Distributed Deep Learning over Bandlimited Networks - Siyu Qiu

Distributed deep learning (DL) plays a critical role in many wireless Internet of Things (IoT) applications including remote camera deployment. This work addresses three practical challenges in…

From  Philip Young 0 likes 5 plays 0  

ECS20 - W22 - Lecture 8 (4R): Sets 3

Review of strings and languages. Closing a set of languages using some operators. Regular languages. Examples. BYTE, WORD32, and WORD64 as languages computers "like", and how we…

From  Phil Rogaway 0 likes 85 plays 0  

ECS20 - W22 - Lecture 2 (1R): Logic 1

Familiar sets and operators on them. The boolean domain and basic operators on booleans (AND, OR, NOT). Representing numbers in binary, and in other bases. Can you represent anything you care about…

From  Phil Rogaway 0 likes 145 plays 0  

AMS-1C: Lecture 09-29

AMS-1C Lecture 2021-09-29 at 16:10

From  Eleftheria Arapoglou 0 likes 16 plays 0  

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…

From  Luis El Srouji 0 likes 18 plays 0  

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…

From  Stefan Schonsheck 0 likes 32 plays 0  

yi.ma.4.13

In this talk, we offer an entirely “white box’’ interpretation of deep (convolution) networks from the perspective of data compression (and group invariance). In particular, we show…

From  Stefan Schonsheck 0 likes 24 plays 0  

ECS 220 7b:7.3-4 a universal partial recursive function

From  David Doty 0 likes 21 plays 0  

ECS 220 4c:6.3-1 problems not in P and a natural problem in EXP - P

From  David Doty 0 likes 29 plays 0  

ECS 220 3a:4-5.2 string representation of Turing machine

From  David Doty 0 likes 27 plays 0  

LP Polyhedra-Lec9

Weyl-Minkowski's theorem proved using Fourier Motzkin elimination and Polarity of cones.

From  Jesus De Loera 0 likes 143 plays 0  

LP Polyhedra-Lec8

Weyl-Minkowski's theorem proved using Fourier Motzkin elimination and Polarity of cones.

From  Jesus De Loera 0 likes 65 plays 0  

ECS-175: 2020-11-12 11:00

ECS-175 Lecture 2020-11-12 at 11:00

From  Bernd Hamann 0 likes 87 plays 0