Videos

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Practicalities of Imaging by Compressive Sensing Thumbnail

Practicalities of Imaging by Compressive Sensing

Presenter
  • Kevin Kelly
February 5, 2015
IPAM
Practicalities of Imaging by Compressive Sensing Thumbnail

Practicalities of Imaging by Compressive Sensing

Presenter
  • Kevin Kelly
February 5, 2015
IPAM
Structure-based multiple sequence alignments Thumbnail

Structure-based multiple sequence alignments

Presenter
  • Noah Daniels
January 14, 2015
IPAM
Geostatistics Analysis of Imagery Data: A Brief Overview and Recent Developments Thumbnail

Geostatistics Analysis of Imagery Data: A Brief Overview and Recent Developments

Presenter
  • Pierre Goovaerts
September 26, 2013
IMA
Generalized Linear Models Thumbnail

Generalized Linear Models

Presenter
  • Bin Yu
June 18, 2013
IMA
Machine Learning Models for Feature Selection and Classification of Traffic Anomalies Thumbnail

Machine Learning Models for Feature Selection and Classification of Traffic Anomalies

Presenter
  • Ljiljana Trajkovic
September 5, 2012
IMA
Weighted Pooling - Simple and Effective Techniques for Pooled High Throughput Sequencing Design Thumbnail

Weighted Pooling - Simple and Effective Techniques for Pooled High Throughput Sequencing Design

Presenter
  • David Golan
February 15, 2012
IMA
Adaptive Manipulation of Objects in Hilbert Space via Strong Field Lasers Thumbnail

Adaptive Manipulation of Objects in Hilbert Space via Strong Field Lasers

Presenter
  • Robert Levis
November 9, 2005
IMA

Dynamic Random Partitions: Applications, Opportunities, and Challenges

Presenter
  • Michele Guindani
January 14, 2026
ICERM

Geodesically complete Riemannian metrics on the space of knots

Presenter
  • Henrik Schumacher
May 23, 2023
ICERM
Deep learning for cardiovascular image analysis Thumbnail

Deep learning for cardiovascular image analysis

Presenter
  • Ivana Isgum
January 29, 2020
IPAM
Background reduction in searches for gravitational-wave signals from supernovae: A machine learning approach Thumbnail

Background reduction in searches for gravitational-wave signals from supernovae: A machine learning approach

Presenter
  • Marco Cavaglia
February 1, 2019
IPAM