Videos

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Massive Parallelization to Learn from Massive Data Thumbnail

Massive Parallelization to Learn from Massive Data

Presenter
  • Marc Suchard
June 25, 2013
IMA
Phase Field Approach for Simulating Solid-State Dewetting Problems Thumbnail

Phase Field Approach for Simulating Solid-State Dewetting Problems

Presenter
  • Weizhu Bao
December 7, 2012
IPAM
Sato-Tate Distributions in Genus 2 Thumbnail

Sato-Tate Distributions in Genus 2

Presenter
  • Andrew Sutherland
November 29, 2012
IAS

Modeling and inference for gene expression time series data (an overview)

Presenter
  • Barbel Finkenstadt
February 21, 2012
MBI
Improved Bounds for the Randomized Decision Tree Complexity of Recursive Majority Thumbnail

Improved Bounds for the Randomized Decision Tree Complexity of Recursive Majority

Presenter
  • Ashwin Nayak
April 4, 2011
IAS

Using functional-structural plant modeling to study, understand and simulate fruit tree physiology, architecture, growth and production responses to changes in genetics, environment and management

Presenter
  • Ted DeJong
September 28, 2010
MBI
Subsampling Mathematical Relaxations and Average-case Complexity Thumbnail

Subsampling Mathematical Relaxations and Average-case Complexity

Presenter
  • Boaz Barak
May 24, 2010
IAS
Reductions Between Expansion Problems Thumbnail

Reductions Between Expansion Problems

Presenter
  • Madhur Tulsiani
May 18, 2010
IAS
Robust principal component analysis: Exact recovery of corrupted low-rank matrices via convex optimization Thumbnail

Robust principal component analysis: Exact recovery of corrupted low-rank matrices via convex optimization

Presenter
  • Yi Ma
October 6, 2009
IMA
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
Accounting for temperature-dependent sex determination in crocodilians using delay differential equations Thumbnail

Accounting for temperature-dependent sex determination in crocodilians using delay differential equations

Presenter
  • Angela Gallegos
April 3, 2009
IMA
Natural Image Statistics Enable Us to Quantitatively Model Visual Grouping and Figure-ground Cues Thumbnail

Natural Image Statistics Enable Us to Quantitatively Model Visual Grouping and Figure-ground Cues

Presenter
  • Jitendra Malik
March 6, 2006
IMA