Biometrics and Machine Learning Group
Latest news
We are pleased to announce that Mateusz Trokielewicz defended (with honors) his doctoral dissertation entitled „Iris Recognition Methods Resistant to Biological Changes in the Eye” , supervised by prof. Czajka and prof. Pacut, on the 18th of July, 2019.
Iris scanner can distinguish dead eyeballs from living ones: MIT Technology Review reports on our recent developements in the field of presentation attack detection for cadaver irises.
We are pleased to announce that Mateusz Trokielewicz received the EAB European Biometrics Research Award 2016 for research on iris recognition reliability including template aging, influence of eye diseases and post-mortem recognition.
Is That Eyeball Dead or Alive? Adam Czajka discusses the prevention of iris sensors accepting the use of a high-resolution photo of an iris or, in a grislier scenario, an actual eyeball. For full article, please see IEEE Spectrum.
wersja polska
Introduction to Neural Networks
back to Introduction to Neural Networks (CSE 40868/60868)
Practicals
Practical 3, Mon. 11/28/2016: Recurrent Neural Networks (materials)
We will use different variants of RNN to classify MNIST handwritten digits.
Practical 2, Fri. 10/28/2016: Convolutional Neural Networks (materials)
We will practice with one way of transfer learning: the CNN as a feature extractor connected to a linear SVM recognizing various objects.
Practical 1, Fri. 10/7/2016: Multilayer perceptrons (materials)
We will build multilayer perceptrons in MATLAB and check their properties.
Contact us
Institute of Control
and Computation Engineering
Warsaw University of Technology
ul. Nowowiejska 15/19
00-665 Warsaw, Poland
phone: +48 (22) 234 73 97
