Get our free extension to see links to code for papers anywhere online!

Chrome logo  Add to Chrome

Firefox logo Add to Firefox

Shared Manifold Learning Using a Triplet Network for Multiple Sensor Translation and Fusion with Missing Data


Oct 25, 2022
Aditya Dutt, Alina Zare, Paul Gader

Add code

* 19 pages, 16 figures; Accepted to IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 

   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Robust Semi-Supervised Classification using GANs with Self-Organizing Maps


Oct 19, 2021
Ronald Fick, Paul Gader, Alina Zare

Add code

* 9 pages, 13 figures This work has been submitted to the IEEE for possible publication. Copyright may be transferred without notice, after which this version may no longer be accessible 

   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Outlier Detection through Null Space Analysis of Neural Networks


Jul 02, 2020
Matthew Cook, Alina Zare, Paul Gader

Add code

* 6 pages, 4 figures, Presented at the ICML 2020 Workshop on Uncertainty and Robustness in Deep Learning 

   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Multi-Target Multiple Instance Learning for Hyperspectral Target Detection


Sep 07, 2019
Susan Meerdink, James Bocinsky, Alina Zare, Nicholas Kroeger, Connor McCurley, Daniel Shats, Paul Gader

Add code


   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

A spatial compositional model (SCM) for linear unmixing and endmember uncertainty estimation


Sep 30, 2015
Yuan Zhou, Anand Rangarajan, Paul Gader

Add code


   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Hyperspectral Unmixing Overview: Geometrical, Statistical, and Sparse Regression-Based Approaches


Apr 24, 2012
José M. Bioucas-Dias, Antonio Plaza, Nicolas Dobigeon, Mario Parente, Qian Du, Paul Gader, Jocelyn Chanussot

Add code

* This work has been accepted for publication in IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 

   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email