Videos

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An Introduction to Deep Learning for Vision Thumbnail

An Introduction to Deep Learning for Vision

Presenter
  • Rob Fergus
July 30, 2013
IPAM
Deep Learning Methods for Vision (Part 2) Thumbnail

Deep Learning Methods for Vision (Part 2)

July 12, 2012
IPAM
Deep Learning Methods for Vision (Part 1) Thumbnail

Deep Learning Methods for Vision (Part 1)

Presenter
  • Rob Fergus
July 12, 2012
IPAM
Adaptive tensor product wavelet methods for solving well-posed operator equations Thumbnail

Adaptive tensor product wavelet methods for solving well-posed operator equations

Presenter
  • Rob Stevenson
November 3, 2010
IMA
A Statistical Perspective on Spike Train Analysis, and Possible Connections with Modeling - Rob Kass, Carnegie Mellon University Thumbnail

A Statistical Perspective on Spike Train Analysis, and Possible Connections with Modeling - Rob Kass, Carnegie Mellon University

August 17, 2015
SAMSI
Introduction to Frobenius splitting #3 Thumbnail

Introduction to Frobenius splitting #3

Presenter
  • Karen Smith
August 30, 2012
SLMath
Irreducibility of Gleason polynomials Implies Irreducibility of Per_n Thumbnail

Irreducibility of Gleason polynomials Implies Irreducibility of Per_n

Presenter
  • Rohini Ramadas
May 3, 2022
SLMath

First Order Methods for Manifolds with Orthogonality Constraints and Connections to the SVD

Presenter
  • Laura Balzano
August 2, 2016
IMA
Random knots, confinement and chirality considerations Thumbnail

Random knots, confinement and chirality considerations

Presenter
  • Mariel Vazquez
November 14, 2014
IPAM
Random knots and confinement considerations Thumbnail

Random knots and confinement considerations

Presenter
  • Mariel Vazquez
January 12, 2012
SLMath
Team 6: Visual words: Text analysis concepts for computer vision Thumbnail

Team 6: Visual words: Text analysis concepts for computer vision

Presenter
  • Brendt Wohlberg
August 5, 2009
IMA