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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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Kayacan, E., Kayacan, E., Chen, I.-M., Ramon, H. & Saeys, W. (2018). On The Comparison of Model-Based and Model-Free Controllers in Guidance, Navigation and Control of Agricultural Vehicles. In R. John, H. Hagras & O. Castillo (Eds.), Studies in Fuzziness and Soft Computing (Vol. 362, pp. 49-73). Springer. https://doi.org/10.1007/978-3-319-72892-6_3

Mehndiratta, M., Kayacan, E., Patel, S., Kayacan, E. & Chowdhary, G. (2019). Learning-based Fast Nonlinear Model Predictive Control for Custom-made 3D Printed Ground and Aerial Robots. In S. V. Rakovic & W. Levine (Eds.), Handbook of Model Predictive Control (1 ed., pp. 581-605). Birkhäuser Verlag. https://doi.org/10.1007/978-3-319-77489-3_24

Kayacan, E. & Ahmadieh Khanesar, M. (2017). Fuzzy Neural Networks for Real Time Control Applications, Concepts, Modeling and Algorithms for Fast Learning. Butterworth-Heinemann. https://books.google.dk/books?id=8X4VBgAAQBAJ&printsec=frontcover&hl=da#v=onepage&q&f=false

Dyrmann, M., Skovsen, S., Sørensen, R. A., Nielsen, P. R. & Nyholm Jørgensen, R. (2018). Using a fully convolutional neural network for detecting locations of weeds in images from cereal fields. Abstract from International Conference on Precision Agriculture, Montréal, Quebec, Canada.

Korthals, T., Kragh, M. F., Christiansen, P., Karstoft, H., Nyholm Jørgensen, R. & Rückert, U. (2018). Multi-Modal Detection and Mapping of Static and Dynamic Obstacles in Agriculture for Process Evaluation. Frontiers in Robotics and AI, 5(MAR), Article 28. https://doi.org/10.3389/frobt.2018.00028

Nyholm Jørgensen, R., Laursen, M. S. & Therkildsen, O. R., (2018). Teknologier til understøttelse af vildtvenlig høst med henblik på at reducere høstdrab samt skader på fugle og pattedyr, No. Journal 2017-760-000470, 9 p., Mar 07, 2018.

Ma, X., J. Hegarty, P., Abildgaard Pedersen, J. & Larsen, J. J. (2018). Impact of loudspeaker nonlinear distortion on personal sound zones. Acoustical Society of America. Journal, 143(51), 51-59. https://doi.org/10.1121/1.5019476

Olesen, C. R., Nyholm Jørgensen, R., Laursen, M. S., Larsen, R. & Rosendahl Bjorholm, S. (2017). Høstdrab af rådyr: - analyse af høstdrabsproblemets omfang i Danmark samt test af dronebåret losurin som afværgemetode. Danmarks Jægerforbund. http://udgivelser.jaegerforbundet.dk/2017/foldere-og-tryksager/hoestdrab-af-raadyr-analyse-af-hoestdrabsproblemets-omfang-i-danmark-samt-test-af-dronebaaret-losurin-som-afvaergemiddel/?page=2

Kouskouridas, R., Belagiannis, V., Gasteratos, A., Kyriakoulis, N., Chrysostomou, D., Iosifidis, A., Karakasis, E., Badekas, E. & G. Mouroutsos, S. (2009). Intelligent Integrated Vision System for Indoor Robotics Applications. In 5th National and International HSSS Conference https://www.researchgate.net/publication/265225992_Intelligent_Integrated_Vision_System_for_Indoor_Robotics_Applications

Iosifidis, A., Mouroutsos, S. G. & Gasteratos, A. (2010). Real-time Video Surveillance by a Hybrid Static/Active Camera Mechatronic System. In Advanced Intelligent Mechatronics (AIM), 2010 IEEE/ASME International Conference on (pp. 84-89). IEEE. https://doi.org/10.1109/AIM.2010.5695742

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

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