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Institut for Elektro- og Computerteknologi

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

Sortér efter: Dato | Forfatter | Titel

Iosifidis, A., Tefas, A. & Pitas, I. (2014). Computational Intelligence Approaches for Digital Media Analysis and Description. I J.-S. Pan, V. Snasel, E. S. Corchado, A. Abraham & S.-L. Wang (red.), Intelligent Data analysis and its Applications, Volume II (Bind 2, s. 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. I 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. I 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. I 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. I 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. I Signal Processing Conference (EUSIPCO), 2014 Proceedings of the 22nd European (s. 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. I Pattern Recognition (ICPR), 2014 22nd International Conference on (s. 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. I Image Processing (ICIP), 2014 IEEE International Conference on (s. 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. I Procedia Computer Science (s. 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. I Procedia Computer Science (Bind 51, s. 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. I Acoustics, Speech and Signal Processing (ICASSP), 2015 IEEE International Conference on (s. 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. I Acoustics, Speech and Signal Processing (ICASSP), 2015 IEEE International Conference on (s. 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. I Image Processing (ICIP), 2015 IEEE International Conference on (s. 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. I Image Processing (ICIP), 2015 IEEE International Conference on (s. 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. I Image Processing (ICIP), 2015 IEEE International Conference on (s. 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. I Procedia Computer Science (s. 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. I Signal Processing Conference (EUSIPCO), 2015 23rd European (s. 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. I Signal Processing Conference (EUSIPCO), 2015 23rd European (s. 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. I 2015 IEEE Trustcom/BigDataSE/ISPA (s. 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. I Trustcom/BigDataSE/ISPA, 2015 IEEE (s. 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. I Trustcom/BigDataSE/ISPA, 2015 IEEE (s. 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. I 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. I 2016 1st International Workshop on Sensing, Processing and Learning for Intelligent Machines, SPLINE 2016 - Proceedings Artikel 7528409 IEEE. https://doi.org/10.1109/SPLIM.2016.7528409

Iosifidis, A. & Gabbouj, M. (2016). Supervised Subspace Learning based on Deep Randomized Networks. I 2016 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2016 - Proceedings (s. 2584-2588). Artikel 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. I 2016 IEEE International Conference on Image Processing, ICIP 2016 - Proceedings (s. 4180-4184). Artikel 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. I 2016 IEEE International Conference on Image Processing, ICIP 2016 - Proceedings (s. 1644-1648). Artikel 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. I 2016 24th European Signal Processing Conference, EUSIPCO 2016 (s. 1113-1117). Artikel 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 præsenteret på SAGEEP 2017, Denver, USA.

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. I Lecture Notes: Studies in Computational Intelligence Springer.

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

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

Iosifidis, A. & Pitas, I. (2015). Graph-based Pattern Classification and Dimensionality Reduction. I I. Pitas (red.), 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. I 142nd Audio Engineering Society International Convention 2017 (Bind 2, s. 1019-1026). Artikel 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. I 23rd European Meeting of Environmental and Engineering Geophysics 2017 (Bind 15, s. 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. I 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

Iosifidis, A. & Gabbouj, M. (2016). Graph-regularized Multi-class Support Vector Machines for Face and Action Recognition. I 2016 24th European Signal Processing Conference, EUSIPCO 2016 (s. 96-100). Artikel 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. I 2016 24th European Signal Processing Conference, EUSIPCO 2016 (s. 2270-2274). Artikel 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. I 2016 IEEE 18th International Workshop on Multimedia Signal Processing, MMSP 2016 Artikel 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. I 2016 23rd International Conference on Pattern Recognition, ICPR 2016 (s. 2276-2281). Artikel 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. I 2016 23rd International Conference on Pattern Recognition, ICPR 2016 (s. 627-632). Artikel 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. I 2016 23rd International Conference on Pattern Recognition, ICPR 2016 (s. 3769-3774). Artikel 7900221 IEEE. https://doi.org/10.1109/ICPR.2016.7900221

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