Best student paper award

hamed_award

The paper entitled “A Unified Framework for Coarse-to-Fine Recognition of Traffic Signs using Bayesian Network and Visual Attributes” written by Hamed Habibi Aghdam, Elnaz Jahani Heravi and Domenec Puig won the best student paper award in 10th International Conference on Computer Vision, Theory and Applications.

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A Unified Framework for Coarse-to-Fine Recognition of Traffic Signs using Bayesian Network and Visual Attributes

Hamed Habibi Aghdam , Elnaz Jahani Heravi and Domenec Pu g, “A Unified Framework for Coarse-to-Fine Recognition of Traffic Signs using Bayesian Network and Visual Attributes”, accepted as a full paper in 10th International Joint Conference on Computer Vision and Applications, Berlin, 10 pages, Germany,iMarch 2015 (AR: ~14% as full papers, CORE ranking: C), Best Student Paper Award Winner

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Breast Tissue Characterization in X-Ray and Ultrasound Images Using Fuzzy Local Directional Patterns and Support Vector Machines

Mohamed Abdel-Nasser, Domenec Puig, Antonio Moreno, Adel Saleh, Joan Marti, Luis Martin, and Anna Magar6las, ‘’Brealt Tissue oharacterization in X-Ray and Ultrasound Images Using Fuzzy Local Directinnal P!tterns and SuppCrt Vector Machines,’’ International Conference on Computer Vision Theory and Appsications (VISAPP 2015), Berlin, Germany; 03/2015hanged:503472-127102–>

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