Anastasios Tefas undertakes multidisciplinary studies into Artificial intelligence and Information retrieval in his work. He integrates several fields in his works, including Information retrieval and Artificial intelligence. His Geometric transformation research extends to the thematically linked field of Computer vision. His work on Geometric transformation is being expanded to include thematically relevant topics such as Computer vision. His research brings together the fields of Computer security and Authentication (law). His research combines Authentication (law) and Computer security. Anastasios Tefas performs multidisciplinary study on Social science and Face (sociological concept) in his works. With his scientific publications, his incorporates both Face (sociological concept) and Social science. His Facial recognition system study frequently draws connections between related disciplines such as Pattern recognition (psychology).
Anastasios Tefas links relevant scientific disciplines such as Outlier and Markov chain in the realm of Statistics. Anastasios Tefas incorporates Markov chain and Statistics in his studies. His Artificial intelligence study frequently draws connections to adjacent fields such as Class (philosophy). His Class (philosophy) study frequently links to other fields, such as Artificial intelligence. His Pattern recognition (psychology) study often links to related topics such as Facial recognition system. Much of his study explores Facial recognition system relationship to Pattern recognition (psychology). He merges Computer vision with Feature extraction in his study. By researching both Feature extraction and Computer vision, he produces research that crosses academic boundaries. Anastasios Tefas undertakes multidisciplinary investigations into Face (sociological concept) and Social science in his work.
Anastasios Tefas performs multidisciplinary studies into Cluster analysis and Dimensionality reduction in his work. Anastasios Tefas undertakes interdisciplinary study in the fields of Dimensionality reduction and Cluster analysis through his works. He incorporates Artificial intelligence and Speech recognition in his research. He carries out multidisciplinary research, doing studies in Speech recognition and Artificial intelligence. Embedding and Subspace topology are two areas of study in which Anastasios Tefas engages in interdisciplinary work. Anastasios Tefas performs multidisciplinary study on Subspace topology and Embedding in his works. Anastasios Tefas undertakes multidisciplinary investigations into Principal component analysis and Linear discriminant analysis in his work. He integrates many fields in his works, including Linear discriminant analysis and Principal component analysis. Antibody and Subclass are frequently intertwined in his study.
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Exploiting discriminant information in nonnegative matrix factorization with application to frontal face verification
S. Zafeiriou;A. Tefas;I. Buciu;I. Pitas.
IEEE Transactions on Neural Networks (2006)
Using support vector machines to enhance the performance of elastic graph matching for frontal face authentication
A. Tefas;C. Kotropoulos;I. Pitas.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2001)
Forecasting Stock Prices from the Limit Order Book Using Convolutional Neural Networks
Avraam Tsantekidis;Nikolaos Passalis;Anastasios Tefas;Juho Kanniainen.
ieee conference on business informatics (2017)
Image authentication techniques for surveillance applications
F. Bartolini;A. Tefas;M. Barni;I. Pitas.
Proceedings of the IEEE (2001)
Blind robust watermarking schemes for copyright protection of 3D mesh objects
S. Zafeiriou;A. Tefas;I. Pitas.
IEEE Transactions on Visualization and Computer Graphics (2005)
Comparison of face verification results on the XM2VTFS database
J. Matas;M. Hamouz;K. Jonsson;J. Kittler.
international conference on pattern recognition (2000)
View-Invariant Action Recognition Based on Artificial Neural Networks
A. Iosifidis;A. Tefas;I. Pitas.
IEEE Transactions on Neural Networks (2012)
Deep convolutional learning for Content Based Image Retrieval
Maria Tzelepi;Anastasios Tefas.
Frontal face authentication using morphological elastic graph matching
C. Kotropoulos;A. Tefas;I. Pitas.
IEEE Transactions on Image Processing (2000)
Learning Deep Representations with Probabilistic Knowledge Transfer
Nikolaos Passalis;Anastasios Tefas.
european conference on computer vision (2018)
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