Constantinos Constantinopoulos

According to our database1, Constantinos Constantinopoulos authored at least 20 papers between 2002 and 2022.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
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Links

On csauthors.net:

Bibliography

2022
Context-Aware Automatic Sign Language Video Transcription in Psychiatric Interviews.
Sensors, 2022

Museum Guidance in Sign Language: the SignGuide project.
Proceedings of the PETRA '22: The 15th International Conference on PErvasive Technologies Related to Assistive Environments, Corfu, Greece, 29 June 2022, 2022

2021
A Hierarchical Ontology for Dialogue Acts in Psychiatric Interviews.
Proceedings of the PETRA '21: The 14th PErvasive Technologies Related to Assistive Environments Conference, Virtual Event, Greece, 29 June, 2021

A Method for Recovering Near Infrared Information from RGB Measurements with Application in Precision Agriculture.
Proceedings of the 29th European Signal Processing Conference, 2021

2020
The MuseLearn Platform: Personalized Content for Museum Visitors Assisted by Vision-Based Recognition and 3D Pose Estimation of Exhibits.
Proceedings of the Artificial Intelligence Applications and Innovations, 2020

Towards a visual Sign Language dataset for home care services.
Proceedings of the 15th IEEE International Conference on Automatic Face and Gesture Recognition, 2020

2019
Translation of Sign Language Glosses to Text Using Sequence-to-Sequence Attention Models.
Proceedings of the 15th International Conference on Signal-Image Technology & Internet-Based Systems, 2019

2012
On Affine Invariant Descriptors Related to SIFT.
SIAM J. Imaging Sci., 2012

2011
A robust pipeline for logo detection.
Proceedings of the 2011 IEEE International Conference on Multimedia and Expo, 2011

Efficiently Explaining Decisions of Probabilistic RBF Classification Networks.
Proceedings of the Adaptive and Natural Computing Algorithms, 2011

2008
Semi-supervised and active learning with the probabilistic RBF classifier.
Neurocomputing, 2008

2007
Unsupervised Learning of Gaussian Mixtures Based on Variational Component Splitting.
IEEE Trans. Neural Networks, 2007

Image Modeling and Segmentation Using Incremental Bayesian Mixture Models.
Proceedings of the Computer Analysis of Images and Patterns, 12th International Conference, 2007

2006
Στατιστικές και νευρωνικές μέθοδοι για προβλήματα μηχανικής μάθησης
PhD thesis, 2006

An incremental training method for the probabilistic RBF network.
IEEE Trans. Neural Networks, 2006

Bayesian Feature and Model Selection for Gaussian Mixture Models.
IEEE Trans. Pattern Anal. Mach. Intell., 2006

Active Learning with the Probabilistic RBF Classifier.
Proceedings of the Artificial Neural Networks, 2006

2005
An Analytic Distance Metric for Gaussian Mixture Models with Application in Image Retrieval.
Proceedings of the Artificial Neural Networks: Formal Models and Their Applications, 2005

2004
Efficient Training Algorithms for the Probabilistic RBF Network.
Proceedings of the Methods and Applications of Artificial Intelligence, 2004

2002
A Bayesian Regularization Method for the Probabilistic RBF Network.
Proceedings of the Methods and Applications of Artificial Intelligence, 2002


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