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The aim of this work is to learn a shape prior model
for an object class and to improve shape matching with the
learned shape prior. Given images of example instances,
we can le...
We present a new approach for the discriminative training
of continuous-valued Markov Random Field (MRF)
model parameters. In our approach we train the MRF
model by optimizing t...
Many semi-supervised learning algorithms only
deal with binary classification. Their extension to the
multi-class problem is usually obtained by repeatedly
solving a set of bina...
I am a research scientist at the Department Empirical Inference (Head. Prof. Dr. Bernhard Schölkopf) of the Max Planck Institute for Biological Cybernetics in Tübingen, Germany. ...
Currently I am working in machine vision group, University of Oulu, as a senior researcher. I received the Ph. D degree in computer science from the Department of Computer Scien...
"Artificial Intelligence (AI) is a big field, and this is a big book. We have tried to explore the full breadth of the field, which encompasses logic, probability, and continu...
A library for developing portable applications that deal with networking, threads (message passing, futures, etc...), graphical interfaces, complex data structures, linear algebra,...