Telecommunications

Telecommunications can be considered as the most important factor that has enabled the technological growth of today’s economy. Enormous amount of data (voice, text and multimedia) is delivered in real time every day through wired and wireless infrastructure to enable growth in all sectors of the economy. Telecommunications is a scientific domain of great importance and research to more advanced communication platforms is required to sustain the advancements that have been achieved until today. At International Hellenic University we focus our research mainly in the area of wireless communications providing expertise in modelling of communication channels, radio propagation algorithms, radio planning algorithms, audio and image processing and multimedia content management.

Subcategories

Staff Members

The following staff members are active in this research area:

Kotsia Irene

Assistant Professor, School of Science and Technology

Selected Publications

  • Kotsia I. and Patras I., "Support Tucker Machines", IEEE Computer Vision and Pattern Recognition (CVPR 2011), Colorado Springs, USA, 20-25 June (2011) • Conference Paper
  • Kotsia I., Zafeiriou S. and Pitas I., "Novel Class of Multiclass Classifiers based on the Minimization of Within-Class-Variance", IEEE Transactions on Neural Networks, vol 20, no. 1, pp.14-34 (2009) • Journal Paper
  • Tzimiropoulos G., Mitianoudis N. and Stathaki T., "A unifying approach to moment-based shape orientation and symmetry classification", IEEE Transactions on Image Processing, Vol . 18, No. 1, pp. 125 - 139, Jan. 2009 (2009) • Journal Paper
  • Kotsia I., Buciu I. and Pitas I., "An analysis of facial expression recognition under partial facial image occlusion", Image and Vision Computing Elsevier, vol 26, is. 7, pp. 1052-1067, July 2008 (2008) • Journal Paper
  • Kotsia I., Zafeiriou S. and Pitas I., "Texture and Shape Information Fusion for Facial Expression and Facial Action Unit Recognition", Pattern Recognition Elsevier, Special Issue on Machine Learning Techniques for Multimodal Biometrics, pp 833-851, vol. 41, no. 3, March 2008 (2008) • Journal Paper

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