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Christos-Nikolaos Anagnostopoulos
Christos-Nikolaos Anagnostopoulos
Professor, Computer Science, University of the Aegean
Verified email at ct.aegean.gr - Homepage
Title
Cited by
Cited by
Year
A license plate-recognition algorithm for intelligent transportation system applications
CNE Anagnostopoulos, IE Anagnostopoulos, V Loumos, E Kayafas
IEEE Transactions on Intelligent transportation systems 7 (3), 377-392, 2006
9702006
License plate recognition from still images and video sequences: A survey
CNE Anagnostopoulos, IE Anagnostopoulos, ID Psoroulas, V Loumos, ...
IEEE Transactions on intelligent transportation systems 9 (3), 377-391, 2008
8442008
Features and classifiers for emotion recognition from speech: a survey from 2000 to 2011
CN Anagnostopoulos, T Iliou, I Giannoukos
Artificial Intelligence Review 43 (2), 155-177, 2015
4302015
Vehicle logo recognition using a sift-based enhanced matching scheme
AP Psyllos, CNE Anagnostopoulos, E Kayafas
IEEE transactions on intelligent transportation systems 11 (2), 322-328, 2010
2642010
Vehicle model recognition from frontal view image measurements
A Psyllos, CN Anagnostopoulos, E Kayafas
Computer Standards & Interfaces 33 (2), 142-151, 2011
1522011
A mobile agent platform for distributed network and systems management
D Gavalas, GE Tsekouras, C Anagnostopoulos
Journal of Systems and Software 82 (2), 355-371, 2009
1022009
Operator context scanning to support high segmentation rates for real time license plate recognition
I Giannoukos, CN Anagnostopoulos, V Loumos, E Kayafas
Pattern Recognition 43 (11), 3866-3878, 2010
952010
License plate recognition: A brief tutorial
CNE Anagnostopoulos
IEEE Intelligent transportation systems magazine 6 (1), 59-67, 2014
752014
A computer vision approach for textile quality control
C Anagnostopoulos, D Vergados, E Kayafas, V Loumos, ...
The Journal of Visualization and Computer Animation 12 (1), 31-44, 2001
632001
Intelligent modification for the daltonization process of digitized paintings
CN Anagnostopoulos, G Tsekouras, I Anagnostopoulos, C Kalloniatis
International Conference on Computer Vision Systems: Proceedings (2007), 2007
61*2007
Comparison of different classifiers for emotion recognition
T Iliou, CN Anagnostopoulos
2009 13th Panhellenic Conference on Informatics, 102-106, 2009
562009
Statistical evaluation of speech features for emotion recognition
T Iliou, CN Anagnostopoulos
2009 Fourth International Conference on Digital Telecommunications, 121-126, 2009
542009
Classifying Web pages employing a probabilistic neural network
I Anagnostopoulos, C Anagnostopoulos, V Loumos, E Kayafas
IEE Proceedings-Software 151 (3), 139-150, 2004
532004
Improved batch fuzzy learning vector quantization for image compression
GE Tsekouras, M Antonios, C Anagnostopoulos, D Gavalas, D Economou
Information Sciences 178 (20), 3895-3907, 2008
482008
Modelling of indoor low voltage power-line cables in the high frequency range
IC Papaleonidopoulos, CG Karagiannopoulos, NJ Theodorou, ...
International Symposium on Power Line Communications and Its Applications …, 2002
452002
Classification on speech emotion recognition-a comparative study
T Iliou, CN Anagnostopoulos
animation 4, 5, 2010
442010
Intelligent modification of colors in digitized paintings for enhancing the visual perception of color-blind viewers
P Doliotis, G Tsekouras, CN Anagnostopoulos, V Athitsos
IFIP International Conference on Artificial Intelligence Applications and …, 2009
412009
M-SIFT: A new method for Vehicle Logo Recognition
A Psyllos, CN Anagnostopoulos, E Kayafas
2012 IEEE International Conference on Vehicular Electronics and Safety …, 2012
372012
A novel data preprocessing method for boosting neural network performance: a case study in osteoporosis prediction
T Iliou, CN Anagnostopoulos, IM Stephanakis, G Anastassopoulos
Information Sciences 380, 92-100, 2017
342017
A template-guided approach to vehicle surveillance and access control
C Anagnostopoulos, T Alexandropoulos, S Boutas, V Loumos, E Kayafas
IEEE Conference on Advanced Video and Signal Based Surveillance, 2005., 534-539, 2005
322005
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