Sergios Petridis

According to our database1, Sergios Petridis authored at least 29 papers between 2000 and 2016.

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

Timeline

Legend:

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PhD thesis 
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Online presence:

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Bibliography

2016
Audio-visual speaker diarization using fisher linear semi-discriminant analysis.
Multim. Tools Appl., 2016

2015
A Low Cost Pupillometry Approach.
Int. J. E Health Medical Commun., 2015

An overview of the BIOASQ large-scale biomedical semantic indexing and question answering competition.
BMC Bioinform., 2015

2014
CASAM: collaborative human-machine annotation of multimedia.
Multim. Tools Appl., 2014

Clothes Change Detection Using the Kinect Sensor.
Proceedings of the SIGMAP 2014, 2014

Performance and energy characterization of high-performance low-cost cornerness detection on GPUs and multicores.
Proceedings of the 5th International Conference on Information, 2014

2013
Unobtrusive Low Cost Pupil Size Measurements using Web cameras.
CoRR, 2013

2012
Fisher Linear Semi-Discriminant Analysis for Speaker Diarization.
IEEE Trans. Speech Audio Process., 2012

Probabilistic Extension of Allen's Relations Using the Hourglass Model.
Proceedings of the IEEE 24th International Conference on Tools with Artificial Intelligence, 2012

Detection and clustering of musical audio parts using Fisher linear semi-discriminant analysis.
Proceedings of the 20th European Signal Processing Conference, 2012

2010
Learning subsumption hierarchies of ontology concepts from texts.
Web Intell. Agent Syst., 2010

Allen's Hourglass: Probabilistic Treatment of Interval Relations.
Proceedings of the TIME 2010, 2010

User-driven recognition of audio events in news videos.
Proceedings of the 5th International Workshop on Semantic Media Adaptation and Personalization, 2010

A Multi-class Method for Detecting Audio Events in News Broadcasts.
Proceedings of the Artificial Intelligence: Theories, 2010

Unsupervised Speaker Clustering in a Linear Discriminant Subspace.
Proceedings of the Ninth International Conference on Machine Learning and Applications, 2010

2008
Learning Ontologies of Appropriate Size.
Proceedings of the Artificial Intelligence: Theories, 2008

Determining Automatically the Size of Learned Ontologies.
Proceedings of the ECAI 2008, 2008

2007
Discovering Subsumption Hierarchies of Ontology Concepts from Text Corpora.
Proceedings of the 2007 IEEE / WIC / ACM International Conference on Web Intelligence, 2007

Classifying Images from Athletics Based on Spatial Relations.
Proceedings of the Second International Workshop on Semantic Media Adaptation and Personalization, 2007

On the use of spatial relations between objects for image classification.
Proceedings of the Artificial Intelligence and Innovations 2007: from Theory to Applications, 2007

An Efficient Feature Extraction and Dimensionality Reduction Scheme for Isolated Greek Handwritten Character Recognition.
Proceedings of the 9th International Conference on Document Analysis and Recognition (ICDAR 2007), 2007

2006
An efficient segmentation-free approach to assist old Greek handwritten manuscript OCR.
Pattern Anal. Appl., 2006

Knowledge Acquisition from Multimedia Content using an Evolution Framework.
Proceedings of the Artificial Intelligence Applications and Innovations, 2006

2004
On the relation between discriminant analysis and mutual information for supervised linear feature extraction.
Pattern Recognit., 2004

Feature Deforming for Improved Similarity-Based Learning.
Proceedings of the Methods and Applications of Artificial Intelligence, 2004

A Segmentation-Free Recognition Technique to Assist Old Greek Handwritten Manuscript OCR.
Proceedings of the Document Analysis Systems VI, 6th International Workshop, 2004

2002
Symbolic and Neural Learning of Named-Entity Recognition and Classification Systems in Two Languages.
Proceedings of the Advances in Computational Intelligence and Learning: Methods and Applications, 2002

2000
The Role of Multiple, Linear-Projection Based Visualization Techniques in RBF-Based Classification of High Dimensional Data.
Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000

Supervised Principal Component Analysis Using a Smooth Classifier Paradigm.
Proceedings of the 15th International Conference on Pattern Recognition, 2000


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