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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. & 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

Hein, A., Larsen, J. J. & D. Parsekian, A. (2017). Removal of Harmonic Noise from Surface Nuclear Magnetic Resonance Measurements in the Frequency Domain. Poster session presented at SAGEEP 2017, Denver, United States.

Iosifidis, A. (2008, Jun). Subcritical nuclear reactor operation – Accelerator Driven System (ADS).

Iosifidis, A. (2010, Mar). Surveillance of moving target using a mechatronic system with active camera.

Iosifidis, A. (2013). Computer Vision and Pattern Recognition Techniques for Human-Computer Interaction.

Iosifidis, A., Tefas, A. & Pitas, I. (2015). Single-hidden Layer Feedforward Neural network training using class geometric information. In Lecture Notes: Studies in Computational Intelligence Springer.

Tsapanos, N., Iosifidis, A. & Pitas, I. (2015). Mathematical preliminaries: graphs and matrices. In I. Pitas (Ed.), Graph-Based Social Media Analysis CRC Press.

Iosifidis, A., Tsapanos, N. & Pitas, I. (2015). Graphs in social and digital media. In I. Pitas (Ed.), Graph-Based Social Media Analysis CRC Press.

Iosifidis, A. & Pitas, I. (2015). Graph-based Pattern Classification and Dimensionality Reduction. In I. Pitas (Ed.), Graph-Based Social Media Analysis CRC Press.

Ma, X., J. Hegarty, P., Abildgaard Pedersen, J., Johansen, L. G. & Larsen, J. J. (2017). Assessing the Influence of Loudspeaker Driver Nonlinear Distortion on Personal Sound Zones. In 142nd Audio Engineering Society International Convention 2017 (Vol. 2, pp. 1019-1026). Article 9807 Audio Engineering Society . http://www.aes.org/e-lib/browse.cfm?elib=18681

Liu, L., Grombacher, D. J., Auken, E. & Larsen, J. J. (2018). Removal of Co-Frequency Powerline Harmonics From Multichannel Surface NMR Data. IEEE Geoscience and Remote Sensing Letters, 15(1), 53-57. https://doi.org/10.1109/LGRS.2017.2772790

Larsen, J. J., Liu, L., Grombacher, D. J. & Auken, E. (2017). Removal of Co-frequency Powerline Harmonics from Multichannel Surface NMR Data. In 23rd European Meeting of Environmental and Engineering Geophysics 2017 (Vol. 15, pp. 53-57). European Association of Geoscientists and Engineers. https://doi.org/10.3997/2214-4609.201702040

Liu, L., Grombacher, D. J., Auken, E. & Larsen, J. J. (2017). A Multichannel, Low Noise Surface NMR Receiver System with Wireless Connections to Signal and Reference Coils. In 23rd European Meeting of Environmental and Engineering Geophysics European Association of Geoscientists and Engineers. https://doi.org/10.3997/2214-4609.201702012

Rasmussen, S., Skovgaard Nyboe, N., Mai, S. & Larsen, J. J. (2018). Extraction and use of noise models from transient electromagnetic data. Geophysics, 83(1), E37-E46. https://doi.org/10.1190/geo2017-0299.1

Skovsen, S., Dyrmann, M., Mortensen, A. K., Steen, K. A., Green, O., Eriksen, J., Gislum, R., Nyholm Jørgensen, R. & Karstoft, H. (2017). Estimation of the Botanical Composition of Clover-Grass Leys from RGB Images Using Data Simulation and Fully Convolutional Neural Networks. Sensors, 17(12), Article 2930. https://doi.org/10.3390/s17122930

Iosifidis, A. & Gabbouj, M. (2016). Graph-regularized Multi-class Support Vector Machines for Face and Action Recognition. In 2016 24th European Signal Processing Conference, EUSIPCO 2016 (pp. 96-100). Article 7760217 IEEE. https://doi.org/10.1109/EUSIPCO.2016.7760217

Kicanaoglu, B., Iosifidis, A. & Gabbouj, M. (2016). Maximum Margin Binary Classifiers using Intrinsic and Penalty graphs. In 2016 24th European Signal Processing Conference, EUSIPCO 2016 (pp. 2270-2274). Article 7760653 IEEE. https://doi.org/10.1109/EUSIPCO.2016.7760653

Mygdalis, V., Iosifidis, A., Tefas, A. & Pitas, I. (2016). Laplacian One Class Extreme Learning Machine for Human Action Recognition. In 2016 IEEE 18th International Workshop on Multimedia Signal Processing, MMSP 2016 Article 7813387 IEEE. https://doi.org/10.1109/MMSP.2016.7813387

Riabchenko, E., Meissner, K., Ahmad, I., Iosifidis, A., Tirronen, V., Gabbouj, M. & Kiranyaz, S. (2016). Learned vs. Engineered Features for Fine-Grained Classification of Aquatic Macroinvertebrates. In 2016 23rd International Conference on Pattern Recognition, ICPR 2016 (pp. 2276-2281). Article 7899975 IEEE. https://doi.org/10.1109/ICPR.2016.7899975

Waris, M. A., Iosifidis, A. & Gabbouj, M. (2016). Object Proposals using CNN-based edge filtering. In 2016 23rd International Conference on Pattern Recognition, ICPR 2016 (pp. 627-632). Article 7899704 IEEE. https://doi.org/10.1109/ICPR.2016.7899704

Aytekin, C., Iosifidis, A., Kiranyaz, S. & Gabbouj, M. (2016). Salient Object Segmentation based on Linearly Combined Affinity Graphs. In 2016 23rd International Conference on Pattern Recognition, ICPR 2016 (pp. 3769-3774). Article 7900221 IEEE. https://doi.org/10.1109/ICPR.2016.7900221

Iosifidis, A. & Gabbouj, M. (2016). Hierarchical Class-Specific Kernel Discriminant Analysis for Face Verification. In VCIP 2016 - 30th Anniversary of Visual Communication and Image Processing Article 7805565 IEEE. https://doi.org/10.1109/VCIP.2016.7805565

Iosifidis, A. & Gabbouj, M. (2016). Prototype-based Class-Specific Nonlinear Subspace Learning for Large-Scale Face Verification. In 2016 6th International Conference on Image Processing Theory, Tools and Applications, IPTA 2016 Article 7820988 IEEE. https://doi.org/10.1109/IPTA.2016.7820988

Cao, G., Waris, M. A., Iosifidis, A. & Gabbouj, M. (2016). Multi-modal Subspace Learning with Dropout regularization for Cross-modal Recognition and Retrieval. In 2016 6th International Conference on Image Processing Theory, Tools and Applications, IPTA 2016 Article 7821032 IEEE. https://doi.org/10.1109/IPTA.2016.7821032

Raitoharju, J., Riabchenko, E., Meissner, K., Ahmad, I., Iosifidis, A., Gabbouj, M. & Kiranyaz, S. (2017). Data Enrichment in Fine-Grained Classification of Aquatic Macroinvertebrates. In Proceedings - 2nd Workshop on Computer Vision for Analysis of Underwater Imagery, CVAUI 2016 - In Conjunction with International Conference on Pattern Recognition, ICPR 2016 (pp. 43-48). Article 7813092 IEEE. https://doi.org/10.1109/CVAUI.2016.20

Mortensen, A. K., Karstoft, H., Søegaard, K., Gislum, R. & Nyholm Jørgensen, R. (2017). Preliminary Results of Clover and Grass Coverage and Total Dry Matter Estimation in Clover-Grass Crops Using Image Analysis. Journal of Imaging, 3(4), Article 59. https://doi.org/10.3390/jimaging3040059

Christiansen, M. P., Laursen, M. S., Nyholm Jørgensen, R., Skovsen, S. & Gislum, R. (2017). Designing and Testing a UAV Mapping System for Agricultural Field Surveying. Sensors, 17(12), Article 2703. https://doi.org/10.3390/s17122703

Iosifidis, A. & Gabbouj, M. (2017). Class-Specific Kernel Discriminant Analysis based on Cholesky Decomposition. In 2017 International Joint Conference on Neural Networks, IJCNN 2017 - Proceedings (pp. 1141-1146). Article 7965980 IEEE. https://doi.org/10.1109/IJCNN.2017.7965980

Kiranyaz, S., Ince, T., Iosifidis, A. & Gabbouj, M. (2017). Generalized Model of Biological Neural Networks: Progressive Operational Perceptrons. In 2017 International Joint Conference on Neural Networks, IJCNN 2017 - Proceedings (pp. 2477-2485). Article 7966157 IEEE. https://doi.org/10.1109/IJCNN.2017.7966157

Tsantekidis, A., Passalis, N., Tefas, A., Kanniainen, J., Gabbouj, M. & Iosifidis, A. (2017). Forecasting Stock Prices from the Limit Order Book Using Convolutional Neural Networks. In Proceedings - 2017 IEEE 19th Conference on Business Informatics, CBI 2017 (pp. 7-12). Article 8010701 IEEE. https://doi.org/10.1109/CBI.2017.23

Muravev, A., Can Ozan, E., Iosifidis, A. & Gabbouj, M. (2017). Pyramid Encoding for Fast Additive Quantization. Proceedings of the European Signal Processing Conference, 2017, 2575-2579. https://doi.org/10.23919/EUSIPCO.2017.8081662

Passalis, N., Tsantekidis, A., Tefas, A., Kanniainen, J., Gabbouj, M. & Iosifidis, A. (2017). Time-series Classification using Neural Bag-of-Features. Proceedings of the European Signal Processing Conference, 2017, 311-315. https://doi.org/10.23919/EUSIPCO.2017.8081217

Tsantekidis, A., Passalis, N., Tefas, A., Kanniainen, J., Gabbouj, M. & Iosifidis, A. (2017). Using Deep Learning to Detect Price Change Indications in Financial Markets. Proceedings of the European Signal Processing Conference, 2017, 2580-2584. https://doi.org/10.23919/EUSIPCO.2017.8081663

Thanh Tran, D., Waris, M. A., Gabbouj, M. & Iosifidis, A. (2017). Sample-based regularization for Support Vector Machine Classification. In The 7th International Conference on Image Processing, Tools and Applications http://www.cs.tut.fi/~iosifidi/files/conference/2017_IPTA_DropOutSVM.pdf?dl=0

Schiopu, I., Gabbouj, M., Iosifidis, A., Zeng, B. & Liu, S. (2017). Subaperture Image Segmentation for Lossless Compression. In The seventh International Conference on Image Processing Theory, Tools and Applications http://www.cs.tut.fi/~iosifidi/files/conference/2017_IPTA_SAIC.pdf?dl=0

Iosifidis, A., Tefas, A., Pitas, I. & Gabbouj, M. (2017). Big Media Data Analysis. Signal Processing: Image Communication, 59, 105-108. https://doi.org/10.1016/j.image.2017.10.004

Giselsson, T. M., Nyholm Jørgensen, R., Jensen, P. K., Dyrmann, M. & Midtiby, H. S. (2017). A Public Image Database for Benchmark of Plant Seedling Classification Algorithms. arxiv.org. https://arxiv.org/pdf/1711.05458

Thanh Tran, D., Gabbouj, M. & Iosifidis, A. (2017). Multilinear Class-Specific Discriminant Analysis. Pattern Recognition Letters, 100, 131-136. https://doi.org/10.1016/j.patrec.2017.10.027

Nyholm Jørgensen, R. & Skovsen, S. (2017). Automatisk kløvergræsestimering. Pictures, Video and sound recordings (digital), YouTube. https://www.youtube.com/watch?v=Kx_8ku90XO4&t=955s

Nyholm Jørgensen, R. & Dyrmann, M. (2017). Automatisk genkendelse af ukrudt. Pictures, Video and sound recordings (digital), YouTube. https://www.youtube.com/watch?v=xw9p3S-GZG8&t=794s

Nyholm Jørgensen, R. (2017). Metatilgangen til Deep Learning. Pictures, Video and sound recordings (digital), YouTube. https://www.youtube.com/watch?v=moLU3QvWIRM&t=355s

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