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Department of Electrical and Computer Engineering

Publications by Signal Processing & Machine Learning

Are you looking for publications by Section of Signal Processing & Machine Learning? On this page you can find all the publications made by the Section of Signal Processing & Machine Learning - Department of Electrical and Computer Engineering, Aarhus University.

Below you can find a list of all the publications, their publishing date, their author(s), and titles. The list can be sorted by date, author, and title:

List of Publications

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Iosifidis, A., Nikolaidis, N. & Pitas, I. (2010). Movement recognition exploiting multi-view information. In Multimedia Signal Processing (MMSP), 2010 IEEE International Workshop on (pp. 427-431). IEEE. https://doi.org/10.1109/MMSP.2010.5662059

Iosifidis, A., Tefas, A., Nikolaidis, N. & Pitas, I. (2011). Learning Human Identity Using View-Invariant Multi-view Movement Representation. In C. Vielhauer, J. Dittmann, A. Drygajlo, N. C. Juul & M. C. Fairhurst (Eds.), Biometrics and ID Management: COST 2101 European Workshop, BioID 2011, Brandenburg (Havel), Germany, March 8-10, 2011. Proceedings (pp. 217-226). Springer. https://doi.org/10.1007/978-3-642-19530-3_20

Iosifidis, A., Tefas, A. & Pitas, I. (2011). Person Specific Activity Recognition using Fuzzy Learning and Discriminant Analysis. In Signal Processing Conference, 2011 19th European (pp. 1974-1978). IEEE. http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7074111

Iosifidis, A., Tefas, A. & Pitas, I. (2012). Multi-view Human Action Recognition under occlusion based on Fuzzy Distances and Neural Networks. In Signal Processing Conference (EUSIPCO), 2012 Proceedings of the 20th European (pp. 1129-1133). IEEE. http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6334098

Iosifidis, A., Marami, E., Tefas, A. & Pitas, I. (2012). Eating and Drinking activity recognition based on Discriminant Analysis of fuzzy distances and Activity Volumes. In Acoustics, Speech and Signal Processing (ICASSP), 2012 IEEE International Conference on (pp. 2201-2204). IEEE. https://doi.org/10.1109/ICASSP.2012.6288350

Iosifidis, A., Tefas, A. & Pitas, I. (2012). Neural representation and learning for multi-view human action recognition. In Neural Networks (IJCNN), The 2012 International Joint Conference on IEEE. https://doi.org/10.1109/IJCNN.2012.6252675

Iosifidis, A., Tefas, A. & Pitas, I. (2012). Discriminant Action Representation for View-Invariant Person Identification. In Image Processing (ICIP), 2012 19th IEEE International Conference on (pp. 1177-1180). IEEE. https://doi.org/10.1109/ICIP.2012.6467075

Tefas, A., Iosifidis, A. & Pitas, I. (2013). Neural Networks for Digital Media Analysis and Description. In L. Iliadis, H. Papadopoulos & C. Jayne (Eds.), Engineering Applications of Neural Networks: 14th International Conference, EANN 2013, Halkidiki, Greece, September 13-16, 2013 Proceedings, Part I (pp. 1-11). Springer. https://doi.org/10.1007/978-3-642-41013-0_1

Iosifidis, A., Tefas, A. & Pitas, I. (2013). Multi-view human action recognition: a review. In Ninth International Conference on Intelligent Information Hiding and Multimedia Signal Processing IEEE. http://ikee.lib.auth.gr/record/263305/files/Iosifidis.pdf

Iosifidis, A., Tefas, A. & Pitas, I. (2013). Representative Class Vector Clustering based Discriminant Analysis. In Intelligent Information Hiding and Multimedia Signal Processing, 2013 Ninth International Conference on (pp. 526-529). IEEE. https://doi.org/10.1109/IIH-MSP.2013.136

Iosifidis, A., Tefas, A. & Pitas, I. (2013). Person Identification from Actions based on Dynemes and Discriminant Learning. In Biometrics and Forensics (IWBF), 2013 International Workshop on IEEE. https://doi.org/10.1109/IWBF.2013.6547320

Iosifidis, A., Tefas, A. & Pitas, I. (2013). View-independent Human Action Recognition based on Multi-view Action Images and Discriminant Learning. In IVMSP Workshop, 2013 IEEE 11th IEEE. https://doi.org/10.1109/IVMSPW.2013.6611931

Iosifidis, A., Tefas, A. & Pitas, I. (2013). Person Identification from Actions based on Artificial Neural Networks. In Computational Intelligence in Biometrics and Identity Management (CIBIM), 2013 IEEE Workshop on (pp. 7-13). IEEE. https://doi.org/10.1109/CIBIM.2013.6607907

Iosifidis, A., Tefas, A. & Pitas, I. (2013). Dynamic Action Classification based on Iterative Data Selection and Feedforward Neural Networks. In Signal Processing Conference (EUSIPCO), 2013 Proceedings of the 21st European (pp. 1-5). IEEE. http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6811572

Iosifidis, A., Tefas, A. & Pitas, I. (2013). Active Classification for Human Action Recognition. In Image Processing (ICIP), 2013 20th IEEE International Conference on (pp. 3249-3253). IEEE. https://doi.org/10.1109/ICIP.2013.6738669

Olesen, C. R., Nyholm Jørgensen, R., Laursen, M. S., Larsen, R. & Rosendahl Bjorholm, S. (2017, Jun 1). Droner og losurin. Danmarks Jægerforbund. http://www.jaegerforbundet.dk/om-dj/nyhedsarkiv/2017/droner-og-losurin/

Iosifidis, A., Tefas, A. & Pitas, I. (2014). Multi-view Regularized Extreme Learning Machine for Human Action Recognition. In A. Likas, K. Blekas & D. Kalles (Eds.), Artificial Intelligence: Methods and Applications: 8th Hellenic Conference on AI, SETN 2014 (pp. 84-94). Springer. https://doi.org/10.1007/978-3-319-07064-3_7

Kourous, N., Iosifidis, A., Tefas, A., Nikolaidis, N. & Pitas, I. (2014). Video Characterization based on Activity Clustering. In Electrical and Computer Engineering (ICECE), 2014 International Conference on (pp. 266-269). IEEE. https://doi.org/10.1109/ICECE.2014.7026876

Ivasic-Kos, M., Iosifidis, A., Tefas, A. & Pitas, I. (2014). Person De-identification in Activity Videos. In Information and Communication Technology, Electronics and Microelectronics (MIPRO), 2014 37th International Convention on (pp. 1294-1299). IEEE. https://doi.org/10.1109/MIPRO.2014.6859767

Iosifidis, A., Tefas, A. & Pitas, I. (2014). Computational Intelligence Approaches for Digital Media Analysis and Description. In J.-S. Pan, V. Snasel, E. S. Corchado, A. Abraham & S.-L. Wang (Eds.), Intelligent Data analysis and its Applications, Volume II (Vol. 2, pp. 263-272). Springer. https://doi.org/10.1007/978-3-319-07773-4_26

Mygdalis, V., Iosifidis, A., Tefas, A. & Pitas, I. (2014). Supervised video summarization by content-based video segment selection. In European Conference on Visual Media Production (CVMP) University of Bristol. https://core.ac.uk/download/pdf/73983041.pdf

Mademlis, I., Iosifidis, A., Tefas, A. & Pitas, I. (2014). Stereoscopic Video Description for Human Action Recognition. In Computational Intelligence for Multimedia, Signal and Vision Processing (CIMSIVP), 2014 IEEE Symposium on IEEE. https://doi.org/10.1109/CIMSIVP.2014.7013263

Mygdalis, V., Iosifidis, A., Tefas, A. & Pitas, I. (2014). Video summarization based on subclass Support Vector Data Description. In Computational Intelligence for Engineering Solutions (CIES), 2014 IEEE Symposium on IEEE. https://doi.org/10.1109/CIES.2014.7011849

Iosifidis, A., Tefas, A. & Pitas, I. (2014). Exploiting Local Class Information in Extreme Learning Machine. In IEEE Symposium Series on Computational Intelligence (SSCI): Computational Intelligence for Engineering Solutions http://poseidon.csd.auth.gr/papers/PUBLISHED/CONFERENCE/pdf/2014/Iosifidis_2014_NCTA.pdf

Iosifidis, A., Tefas, A., Nikolaidis, N. & Pitas, I. (2014). Human Action Recognition in Stereoscopic Videos based on Bag of Features and Disparity Pyramids. In Signal Processing Conference (EUSIPCO), 2014 Proceedings of the 22nd European (pp. 1317-1321). IEEE. http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6952463

Cao, G., Iosifidis, A., Chen, K. & Gabbouj, M. (2016). Generalized Multi-view Embedding for Visual Recognition and Cross-modal Retrieval. arXiv, 1-14 (+ 3). https://arxiv.org/pdf/1605.09696.pdf

Ntakaris, A., Magris, M., Kanniainen, J., Gabbouj, M. & Iosifidis, A. (2017). Benchmark Dataset for Mid-Price Prediction of Limit Order Book data. arXiv. https://arxiv.org/pdf/1705.03233.pdf

Thanh Tran, D., Iosifidis, A. & Gabbouj, M. (2017). Improving Efficiency in Convolutional Neural Network with Multilinear Filters. arxiv.org. https://arxiv.org/pdf/1709.09902

Iosifidis, A., Tefas, A. & Pitas, I. (2014). Semi-supervised classification of human actions based on Neural Networks. In Pattern Recognition (ICPR), 2014 22nd International Conference on (pp. 1336-1341). IEEE. https://doi.org/10.1109/ICPR.2014.239

Iosifidis, A., Tefas, A. & Pitas, I. (2014). Human Action Recognition based on Bag of Features and Multi-view Neural Networks. In Image Processing (ICIP), 2014 IEEE International Conference on (pp. 1510-1514). IEEE. https://doi.org/10.1109/ICIP.2014.7025302

Tsapanos, N., Tefas, A., Nikolaidis, N., Iosifidis, A. & Pitas, I. (2015). Fast Kernel Matrix Computation for Big Data Clustering. In Procedia Computer Science (pp. 2445-2452). ELSEVIER. https://doi.org/10.1016/j.procs.2015.05.352

Iosifidis, A., Tefas, A. & Pitas, I. (2015). Enhancing ELM-based facial image classification by exploiting multiple facial views. In Procedia Computer Science (Vol. 51, pp. 2814-2821). ELSEVIER. https://doi.org/10.1016/j.procs.2015.05.440

Mygdalis, V., Iosifidis, A., Tefas, A. & Pitas, I. (2015). Exploiting subclass information in one-class support vector machine for video summarization. In Acoustics, Speech and Signal Processing (ICASSP), 2015 IEEE International Conference on (pp. 2259-2263). IEEE. https://doi.org/10.1109/ICASSP.2015.7178373

Iosifidis, A., Tefas, A. & Pitas, I. (2015). Enhancing Class Discrimination in Kernel Discriminant Analysis. In Acoustics, Speech and Signal Processing (ICASSP), 2015 IEEE International Conference on (pp. 1926-1930). IEEE. https://doi.org/10.1109/ICASSP.2015.7178306

Patrona, F., Iosifidis, A., Tefas, A., Nikolaidis, N. & Pitas, I. (2015). Visual Voice Activity Detection based on Spatiotemporal Information and Bag of Words. In Image Processing (ICIP), 2015 IEEE International Conference on (pp. 2334-2338). IEEE. https://doi.org/10.1109/ICIP.2015.7351219

Teimouri, N., Omid, M., Mollazade, K., Mousazadeh, H., Alimardani, R. & Karstoft, H. (2018). On-line separation and sorting of chicken portions using a robust vision-based intelligent modelling approach. Biosystems Engineering, 167, 8-20. https://doi.org/10.1016/j.biosystemseng.2017.12.009

Iosifidis, A., Tefas, A. & Pitas, I. (2015). Large-scale nonlinear facial image classification based on Approximate Kernel Extreme Learning Machine. In Image Processing (ICIP), 2015 IEEE International Conference on (pp. 2449-2453). IEEE. https://doi.org/10.1109/ICIP.2015.7351242

Iosifidis, A., Tefas, A. & Pitas, I. (2015). Merging Linear Discriminant Analysis with Bag of Words model for Human Action Recognition. In Image Processing (ICIP), 2015 IEEE International Conference on (pp. 832-836). IEEE. https://doi.org/10.1109/ICIP.2015.7350916

Iosifidis, A., Tefas, A. & Pitas, I. (2015). Regularized Extreme Learning Machine for large-scale media content analysis. In Procedia Computer Science (pp. 420-427). ELSEVIER. https://doi.org/10.1016/j.procs.2015.07.319

Iosifidis, A., Tefas, A. & Pitas, I. (2015). Class-specific nonlinear subspace learning based on optimized class representation. In Signal Processing Conference (EUSIPCO), 2015 23rd European (pp. 2491-2495). IEEE. https://doi.org/10.1109/EUSIPCO.2015.7362833

Iosifidis, A. & Gabbouj, M. (2015). A Bayesian Approach for Extreme Learning Machine-based Subspace Learning. In Signal Processing Conference (EUSIPCO), 2015 23rd European (pp. 2356-2360). IEEE. https://doi.org/10.1109/EUSIPCO.2015.7362806

Iosifidis, A., Tefas, A. & Pitas, I. (2015). Nearest Class Vector Classification for Large-Scale Learning Problems. In 2015 IEEE Trustcom/BigDataSE/ISPA (pp. 11-16). IEEE. https://doi.org/10.1109/Trustcom-BigDataSe-

Mygdalis, V., Iosifidis, A., Tefas, A. & Pitas, I. (2015). Large-scale classification by an Approximate Least Squares One-Class Support Vector Machine ensemble. In Trustcom/BigDataSE/ISPA, 2015 IEEE (pp. 6-10). IEEE. https://doi.org/10.1109/Trustcom.2015.555

Iosifidis, A., Gabbouj, M. & Pekki, P. (2015). Class-specific nonlinear projections using class-specific kernel spaces. In Trustcom/BigDataSE/ISPA, 2015 IEEE (pp. 17-24). IEEE. https://doi.org/10.1109/Trustcom.2015.557

Magris, M., Ntakaris, A., Kanniainen, J., Iosifidis, A. & Gabbouj, M. (2016). Analysis of high-frequency order flow dynamics with machine learning techniques. In 10th International Conference on Computational and Financial Econometrics

Mygdalis, V., Iosifidis, A., Tefas, A. & Pitas, I. (2016). Kernel Subclass Support Vector Description for Face and Human Action Recognition. In 2016 1st International Workshop on Sensing, Processing and Learning for Intelligent Machines, SPLINE 2016 - Proceedings Article 7528409 IEEE. https://doi.org/10.1109/SPLIM.2016.7528409

Iosifidis, A. & Gabbouj, M. (2016). Supervised Subspace Learning based on Deep Randomized Networks. In 2016 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2016 - Proceedings (pp. 2584-2588). Article 7472144 IEEE. https://doi.org/10.1109/ICASSP.2016.7472144

Iosifidis, A. & Gabbouj, M. (2016). Combining Multi-class Maximum Margin Classification with Linear Discriminant Analysis for Human Action Recognition. In 2016 IEEE International Conference on Image Processing, ICIP 2016 - Proceedings (pp. 4180-4184). Article 7533147 IEEE. https://doi.org/10.1109/ICIP.2016.7533147

Mygdalis, V., Iosifidis, A., Tefas, A. & Pitas, I. (2016). One Class Classification applied in Facial Image Analysis. In 2016 IEEE International Conference on Image Processing, ICIP 2016 - Proceedings (pp. 1644-1648). Article 7532637 IEEE. https://doi.org/10.1109/ICIP.2016.7532637

Iosifidis, A., Tefas, A., Pitas, I. & Gabbouj, M. (2016). A review of approximate methods for kernel-based Big Media Data Analysis. In 2016 24th European Signal Processing Conference, EUSIPCO 2016 (pp. 1113-1117). Article 7760421 IEEE. https://doi.org/10.1109/EUSIPCO.2016.7760421

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