Computer Vision

A topological framework for training latent variable models

Heydar Maboudi Afkham, Carl Henrik Ek, Stefan Carlsson

ICPR 2014 (Submitted). [ PDF ]

Initialization framework for latent variable models

Heydar Maboudi Afkham, Carl Henrik Ek, Stefan Carlsson

ICPRAM 2014. [ PDF ]

Gradual improvement of image descriptor quality

Heydar Maboudi Afkham, Carl Henrik Ek, Stefan Carlsson

ICPRAM 2014. [ PDF ]

Extracting essential local object characteristics for 3d object categorization

Marianna Madry, Heydar Maboudi Afkham, Carl Henrik Ek, Stefan Carlsson and Danica Kragic

IROS 2013. [ PDF ]

Feature Selection using Constellation Models

Heydar Maboudi Afkham, Carl Henrik Ek, Stefan Carlsson

Technical Report 2013. [ PDF ]

Qualitative Vocabulary Based Descriptor

Heydar Maboudi Afkham, Carl Henrik Ek, Stefan Carlsson

ICPRAM 2013. [ PDF ]

Adaptive features for object classification

Heydar Maboudi Afkham, Stefan Carlsson, Josephine Sullivan

Pattern Recognition - Applications and Methods, volume 204, Springer 2013 [ PDF ]

Improving Feature Level Likelihoods Using Cloud Features

Heydar Maboudi Afkham, Stefan Carlsson, Josephine Sullivan

ICPRAM 2012[ PDF ]

Animal Recognition Using Joint VIsual Vocabulary

Heydar Maboudi Afkham

Master Thesis at KTH, Stockholm, Sweden 2009. [ PDF ]

Joint Visual Vocabulary for Animal Classification
Heydar Maboudi Afkham, Alireza Tavakoli Targhi, Jan-oluf Eklundh, and Andrzej Pronobis
In Proceedings of the International Conference on Pattern Recognition (ICPR08), Tampa, FL, USA,
December 2008. [ PDF ]

Bioinformatics

STON: A novel method for protein three-dimensional structure comparison

Changiz Eslahchi, Hamid Pezeshk, Mehdi Sadeghi, Amir Massoud Rahimi, Heydar Maboudi Afkham, Shahriar Arab

Computers in Biology and Medicine

February 2009 (Vol. 39, Issue 2, Pages 166-172)