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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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

Prach, A., Kayacan, E. & S. Bernstein, D. (2016). An Experimental Evaluation of the Forward Propagating Riccati Equation to Nonlinear Control of the Quanser 3 DOF Hover Testbed. In 2016 American Control Conference, ACC 2016 (pp. 3710-3715). Article 7525490 IEEE. https://doi.org/10.1109/ACC.2016.7525490

Miranda, J., Cabral, J., Wagner, S. R., Pedersen, C. F., Ravelo, B., Memon, M. & Mathiesen, M. (2016). An Open Platform for Seamless Sensor Support in Healthcare for the Internet of Things. Sensors, 16(12), Article 2089. https://doi.org/10.3390/s16122089

Yan, R-J., Wu, J., Yeung Lee, J., Manan Khan, A., Han, C-S., Kayacan, E. & Chen, I-M. (2016). A Novel Method for 3D Reconstruction: Division and Merging of Overlapping B-spline surfaces. Computer-Aided Design, 81, 14-23. https://doi.org/10.1016/j.cad.2016.08.007

Gislum, R., Abel, S., Mortensen, A. K. & Boelt, B. (2016). Anvendelse af droner med kamera til bestemmelse af afgrødeindeks i græsfrø afgrøder / The use of drones with camera to determine crop index in grass seed crops. In Proceedings of the 16th Nordic herbage seed production seminar: NJF seminar 491. 20 – 22 June 2016, Grimstad, Norway (pp. 57-60) http://njf.nu/assets/Proceedings-NJF-seminar491-Grimstad-2016.pdf

Iosifidis, A., Tefas, A. & Pitas, I. (2016). Approximate Kernel Extreme Learning Machine for Large-Scale Data Classification. Neurocomputing, 219, 210-220. https://doi.org/10.1016/j.neucom.2016.09.023

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

Imanberdiyev, N., Fu, C., Kayacan, E. & Chen, I-M. (2016). Autonomous Navigation of UAV by Using Real-Time Model-Based Reinforcement Learning. In 2016 14th International Conference on Control, Automation, Robotics and Vision, ICARCV 2016 (pp. 1-6). Article 7838739 IEEE . https://doi.org/10.1109/ICARCV.2016.7838739

Kayacan, E., M. Peschel, J. & Kayacan, E. (2016). Centralized, Decentralized and Distributed Nonlinear Model Predictive Control of a Tractor-Trailer System: A Comparative Study. In 2016 American Control Conference, ACC 2016 (pp. 4403-4408). Article 7525615 IEEE. https://doi.org/10.1109/ACC.2016.7525615

Laursen, M. S. (Performer), Larsen, R. (Producer), Jensen, K. (Producer) & Nyholm Jørgensen, R. (Producer). (2016). CIGR2016 Talk - Real time back projection onto prerecorded DHM surface of UAV recorded images with RTK GPS and IMU. Pictures, Video and sound recordings (digital) https://www.youtube.com/watch?v=j34nctK7D60

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

Christiansen, P., N. Nielsen, L., A. Steen, K., Nyholm Jørgensen, R. & Karstoft, H. (2016). DeepAnomaly: Combining Background Subtraction and Deep Learning for Detecting Obstacles and Anomalies in an Agricultural Field. Sensors, 16(11), Article 1904. https://doi.org/10.3390/s16111904

Mehndiratta, M., Kayacan, E. & Kumbasar, T. (2016). Design and Experimental Validation of Single Input Type-2 Fuzzy PID Controllers as Applied to 3 DOF Helicopter Testbed. In 2016 IEEE International Conference on Fuzzy Systems, FUZZ-IEEE 2016 (pp. 1584-1591). Article 07737879 IEEE. https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=7737879

Larsen, J. J. (2016). Despiking of Surface-NMR Data Using a Model-based Approach. In Near Surface Geoscience 2016 : 22nd European Meeting of Environmental and Engineering Geophysics (Vol. 2016). European Association of Geoscientists and Engineers. https://doi.org/10.3997/2214-4609.201602068

Thanh Nguyen, T., Vandevoorde, K., Wouters, N., Kayacan, E., G. de Baerdemaeker, J. & Saeys, W. (2016). Detection of red and bicoloured apples on tree with an RGB-D camera. Biosystems Engineering, 146, 33-44. https://doi.org/10.1016/j.biosystemseng.2016.01.007

Yan, R-J., Leong Low, C., Duan, J., Liu, L., Kayacan, E., Chen, I-M. & Tiong, R. (2016). Development of a Novel Post-Construction Quality Assessment Robot System. In 2016 14th International Conference on Control, Automation, Robotics and Vision, ICARCV 2016 (pp. 1-6). Article 7838741 IEEE . https://doi.org/10.1109/ICARCV.2016.7838741

Laursen, M. S., Nyholm Jørgensen, R., Midtiby, H. S., Jensen, K., Christiansen, M. P., Giselsson, T. M., Mortensen, A. K. & Jensen, P. K. (2016). Dicotyledon Weed Quantification Algorithm for Selective Herbicide Application in Maize Crops. Sensors, 16(11), Article 1848. https://doi.org/10.3390/s16111848

Olsson, P-I., Fiandaca, G., Larsen, J. J., Dahlin, T. & Auken, E. (2016). Doubling the spectrum of time-domain induced polarization by harmonic de-noising, drift correction, spike removal, tapered gating and data uncertainty estimation. Geophysical Journal International, 207(2), 774-784. Article ggw260. https://doi.org/10.1093/gji/ggw260

Fiandaca, G., Olsson, P. I., Larsen, J. J., Dahlin, T. & Auken, E. (2016). Doubling the spectrum of time-domain induced polarization by harmonic de-noising, drift/spike removal and tapered gating. In 22nd European Meeting of Environmental and Engineering Geophysics, Near Surface Geoscience 2016 European Association of Geoscientists and Engineers, EAGE. https://doi.org/10.3997/2214-4609.201602021

Olsson, P-I., Fiandaca, G., Larsen, J. J., Dahlin, T. & Auken, E. (2016). Doubling the spectrum of time-domain induced polarization: removal of non-linear self-potential drift, harmonic noise and spikes, tapered gating, and uncertainty estimation. Abstract from IP2016 - 4th International Workshop on Induced Polarization, Aarhus , Denmark.

Wagner, S. R., Beevi, F. H. A., Pedersen, C. F., Miranda, J., Cabral, J. & Ravelo, B. (2016). Evaluation of Caregivers' First Time Use of a Seamless Deployment Platform. In Proceedings of the International Conference on E-Health, EH 2016 - Part of the Multi Conference on Computer Science and Information Systems 2016 (pp. 59-66). IADIS.

Rasmussen, S., Skovgaard Nyboe, N. & Larsen, J. J. (2016). Extraction and Use of Noise Models from Production-Mode Transient Electromagnetic Data. Abstract from AGU Fall Meeting 2016, San Francisco, California, United States. https://agu.confex.com/agu/fm16/meetingapp.cgi/Paper/168217

Jensen, T., Green, O., Munkholm, L. J. & Karstoft, H. (2016). Fourier and granulometry methods on 3D images of soil surfaces for evaluating soil aggregate size distribution. American Society of Agricultural and Biological Engineers. Transactions, 32(5), 609-615. https://doi.org/10.13031/aea.32.10938

Kirkelund, G. E. & Bennedsen, J. (2016). From PBL Supervisor to Product Owner: SCRUM based supervision of student projects. In Proceedings of SEFI Annual Conference: SEFI 2016 - the44th annnual conference European Society for Engineering Education (SEFI). http://www.sefi.be/conference-2016/papers/Engineering_Skills/kirkelund-from-pbl-supervisor-to-product-owner-104.pdf

Camci, E. & Kayacan, E. (2016). Game of Drones: UAV Pursuit-Evasion Game with Type-2 Fuzzy Logic Controllers tuned by Reinforcement Learning. In 2016 IEEE International Conference on Fuzzy Systems, FUZZ-IEEE 2016 (pp. 618-625). Article 7737744 IEEE. https://doi.org/10.1109/FUZZ-IEEE.2016.7737744

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

Mygdalis, V., Iosifidis, A., Tefas, A. & Pitas, I. (2016). Graph Embedded One-Class Classifiers for media data classification. Pattern Recognition, 60, 585-595. https://doi.org/10.1016/j.patcog.2016.05.033

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

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

Sridharan, K. S., Højlund, A., Sunde, N., Johnsen, E. L., Johansen, L. G., Beniczky, S. & Østergaard, K. (2016). How do treatments affect somatosensory processing in Parkinson's disease - A MEG study. Poster session presented at PhD Day 2016, Aarhus, Denmark.

Chen, I-M., Asadi, E., Nie, J., Yan, R-J., Chuan Law, W., Kayacan, E., Huat Yeo, S., Huat Low, K., Seet, G. & Tiong, R. (2016). Innovations in Infrastructure Service Robots. In V. Parenti-Castelli & W. Schiehlen (Eds.), CISM International Centre for Mechanical Sciences, Courses and Lectures: Proceedings of the 21st CISM-IFToMM Symposium (pp. 3-16). Springer. https://doi.org/10.1007/978-3-319-33714-2_1

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

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

Aytekin, C., Iosifidis, A., Kiranyaz, S. & Gabbouj, M. (2016). Learning Graph Affinities for Spectral Graph-based Salient Object Detection. Pattern Recognition, 64, 159-167. https://doi.org/10.1016/j.patcog.2016.11.005

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

Larsen, J. J. (2016). Model-based subtraction of spikes from surface nuclear magnetic resonance data. Geophysics, 81(4), WB1-WB8. https://doi.org/10.1190/geo2015-0442.1

Iosifidis, A. & Gabbouj, M. (2016). Multi-class Support Vector Machine Classifiers using Intrinsic and Penalty Graphs. Pattern Recognition, 55, 231-246. https://doi.org/10.1016/j.patcog.2016.02.002

Hansen, M. K., Christiansen, P., Korthals, T., Jungeblut, T., Karstoft, H. & Nyholm Jørgensen, R. (2016). Multi-modal Obstacle Detection and Evaluation of Occupancy Grid Mapping in Agriculture. Paper presented at International Conference on Agricultural Engineering 2016, Aarhus, Denmark. http://conferences.au.dk/uploads/tx_powermail/2016cigr_-_multi-modal_obstacle_detection_and_evaluation_of_evidence_grid_mapping_in_agriculture.pdf

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

Asif, M. R., Qi, C., Hussain, S. & Sadiq Fareed, M. (2016). Multiple License Plate Detection for Chinese Vehicles in Dense Traffic Scenarios. IET Intelligent Transport Systems, 10(8). https://doi.org/10.1049/iet-its

Mehndiratta, M. & Kayacan, E. (2016). Numerical Investigation of Gaussian Filters with a Combined Type Bayesian Filter for Nonlinear State Estimation. In IFAC-PapersOnLine (18 ed., Vol. 49, pp. 446-453). Elsevier. https://doi.org/10.1016/j.ifacol.2016.10.206

Iosifidis, A. & Gabbouj, M. (2016). Nyström-based Approximate Kernel Subspace Learning. Pattern Recognition, 57, 190-197. https://doi.org/10.1016/j.patcog.2016.03.018

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

Fu, C., Duan, R., Kircali, D. & Kayacan, E. (2016). Onboard Robust Visual Tracking for UAVs Using a Reliable Global-Local Object Model. Sensors, 16(9), Article 1406. https://doi.org/10.3390/s16091406

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., Mygdalis, V., Tefas, A. & Pitas, I. (2016). One-Class Classification based on Extreme Learning and Geometric Class Information. Neural Processing Letters, 45(2), 577-592. https://doi.org/10.1007/s11063-016-9541-y

Hassan, S., Ahmadieh Khanesar, M., Kayacan, E., jaafar, J. & Khosravi, A. (2016). Optimal design of adaptive type-2 neuro-fuzzy systems: A review. Applied Soft Computing, 44, 134-143. https://doi.org/10.1016/j.asoc.2016.03.023

Nyholm Jørgensen, R. (Producer). (2016). OptiMek Temadag - En fremtid med droner i landbruget. Pictures, Video and sound recordings (digital), YouTube. https://www.youtube.com/watch?v=vZii3S9QP_s&feature=youtu.be

Ma, X., J. Hegarty, P., Abildgaard Pedersen, J., Johansen, L. G. & Larsen, J. J. (2016). Personal Sound Zones: The significance of loudspeaker driver nonlinear distortion. Paper presented at 2016 AES International Conference on Sound Field Control, Guildford, United Kingdom. https://secure.aes.org/forum/pubs/conferences/?elib=18305

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Revised 10.08.2023

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