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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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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. (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

Gislum, R. & Nyholm Jørgensen, R. (2016). Pilotprojekt vedr. billedanalyse på golfbaner med henblik på reduktion i pesticidforbruget og implementering af IPM.

Dyrmann, M., Mortensen, A. K., Midtiby, H. S. & Nyholm Jørgensen, R. (2016). Pixel-wise classification of weeds and crops in images by using a Fully Convolutional neural network. Paper presented at International Conference on Agricultural Engineering 2016, Aarhus, Denmark. http://conferences.au.dk/uploads/tx_powermail/cigr2016paper_semanticsegmentation.pdf

Dyrmann, M., Karstoft, H. & Midtiby, H. S. (2016). Plant species classification using deep convolutional neural network. Biosystems Engineering, 151(November), 72-80. https://doi.org/10.1016/j.biosystemseng.2016.08.024

Grombacher, D. J., Larsen, J. J. & Auken, E. (2016). Potential for Square Wave Transmitters in Surface NMR. In Near Surface Geoscience 2016: 22nd European Meeting of Environmental and Engineering Geophysics (Vol. 2016). European Association of Geoscientists and Engineers. https://doi.org/10.3997/2214-4609.201602008

Larsen, J. J. & Behroozmand, A. A. (2016). Processing of surface-nuclear magnetic resonance data from sites with high noise levels. Geophysics, 81(4), WB75-WB83. https://doi.org/10.1190/geo2015-0441.1

Kiranyaz, S., Ince, T., Iosifidis, A. & Gabbouj, M. (2016). Progressive Operational Perceptrons. Neurocomputing, 224, 142-154. https://doi.org/10.1016/j.neucom.2016.10.044

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

Ravelo, B., Miranda, J., Cabral, J., Wagner, S. R., Pedersen, C. F., Memon, M. & Mathiesen, M. (2016, Mar 24). Radiated EMC Characterization of Common Recognition and Identification Platform for E-Healthcare.

Laursen, M. S., Larsen, R., Jensen, K. & Nyholm Jørgensen, R. (2016). Real time back projection onto prerecorded DHM surface of UAV recorded images with RTK GPS and IMU. Paper presented at International Conference on Agricultural Engineering 2016, Aarhus, Denmark. http://conferences.au.dk/uploads/tx_powermail/2016cigr_real__time__back__projection__onto_prerecorded_dhm_surface_of_uav_recorded_images_with_rtk_gps_and_imu.pdf

Aytekin, C., Kiranyaz, S., Iosifidis, A. & Gabbouj, M. (2016). Recent advances in salient object detection -- Towards object recognition in big media data. Futura – Big Data, 35(2), 80-92. https://tutcris.tut.fi/portal/en/publications/recent-advances-in-salient-object-detection--towards-object-recognition-in-big-media-data(1e2959cf-8622-4243-b78b-6eb03f34a0ce).html

Duan, R., Fu, C., Kayacan, E. & Pani Paudel, D. (2016). Recommended Keypoint-Aware Tracker: Adaptive Real-time Visual Tracking Using Consensus Feature Prior Ranking. In 2016 IEEE International Conference on Image Processing, ICIP 2016 - Proceedings (pp. 449-453). Article 7532397 IEEE. https://doi.org/10.1109/ICIP.2016.7532397

Duan, R., Fu, C. & Kayacan, E. (2016). Recoverable Recommended Keypoint-aware Visual Tracking Using Coupled-layer Appearance Modelling. In IROS 2016 - 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (pp. 4085-4091). Article 7759601 IEEE. https://doi.org/10.1109/IROS.2016.7759601

Kayacan, E. & Ahmadieh Khanesar, M. (2016). Recurrent Interval Type-2 Fuzzy Control of 2-DOF Helicopter With Finite Time Training Algorithm. In IFAC-PapersOnLine (13 ed., Vol. 49, pp. 293-299). Elsevier. https://doi.org/10.1016/j.ifacol.2016.07.977

Nyholm Jørgensen, R. (2016). RoboWeedSupport Præsentation og status ano 02SEP2016. Pictures, Video and sound recordings (digital) https://youtu.be/tiGtGArXOHw

Nyholm Jørgensen, R., Madsen, S. L. & Laursen, M. S. (2016). RoboWeedSupport - Weed Mapping with drones using a DJI Matrice 100 with a Velodyne Lidar.. Pictures, Video and sound recordings (digital), YouTube. https://www.youtube.com/watch?v=91LaKHiHiDw

Dong, Y., Fu, C. & Kayacan, E. (2016). RRT-based 3D Path Planning for Formation Landing of Quadrotor. In 2016 14th International Conference on Control, Automation, Robotics and Vision, ICARCV 2016 (pp. 1-6). Article 7838567 IEEE . https://doi.org/10.1109/ICARCV.2016.7838567

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). Scaling up Class-Specific Kernel Discriminant Analysis for large-scale Face Verification. IEEE Transactions on Information Forensics and Security, 11(11), 2453-2465. Article 7494969. https://doi.org/10.1109/TIFS.2016.2582562

Hansen, M. K., Underwood, J. & Karstoft, H. (2016). Self-supervised Traversability Assessment in Field Environments with Lidar and Camera. Poster session presented at International Conference on Agricultural Engineering 2016, Aarhus, Denmark.

Mortensen, A. K., Dyrmann, M., Karstoft, H., Nyholm Jørgensen, R. & Gislum, R. (2016). Semantic Segmentation of Mixed Crops using Deep Convolutional Neural Network. Paper presented at CIGR 2016, World Congress. http://conferences.au.dk/uploads/tx_powermail/biomap_-_cigr_2016_-_paper_-_final.pdf

Suvei, S.-D., Bodenhagen, L., Kiforenko, L., Christiansen, P., Nyholm Jørgensen, R., Buch, A. G. & Krüger, N. (2016). Stereo and active-sensor data fusion for improved stereo block matching. In A. Campilho, A. Campilho & F. Karray (Eds.), Image Analysis and Recognition - 13th International Conference, ICIAR 2016, Proceedings: Proceedings of 13th International Conference ICIAR in Memory of Mohamed Kamel (Vol. 9730, pp. 451-461). Springer. https://doi.org/10.1007/978-3-319-41501-7_51

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

Hein, A., Larsen, J. J. & D. Parsekian, A. (2016). Symmetry based frequency domain processing to remove harmonic noise from surface nuclear magnetic resonance measurements. Geophysical Journal International, 208(2), 724-736. https://doi.org/10.1093/gji/ggw433

Ärje, J., Kärkkäinen, S., Meissner, K., Iosifidis, A., Ince, T., Gabbouj, M. & Kiranyaz, S. (2016). The effect of automated taxa identification errors on biological indices. Expert Systems with Applications, 72, 108-120. https://doi.org/10.1016/j.eswa.2016.12.015

Pedersen, C. F. (2016). Total Variation Optimization for Compressed Sensing Image Reconstruction. Faculty of Engineering and Science, Dept. of Computer Science, Aalborg University.

Christiansen, P., Sørensen, R., Skovsen, S., Jæger, C. D., Nyholm Jørgensen, R., Karstoft, H. & Steen, K. A. (2016). Towards Autonomous Plant Production using Fully Convolutional Neural Networks. Paper presented at International Conference on Agricultural Engineering 2016, Aarhus, Denmark. http://conferences.au.dk/uploads/tx_powermail/2016cigr-towardsautomousplantproductionusingfullyconvolutionalneuralnetworks.pdf

Jeppesen, J. H., Jacobsen, R. H., Nyholm Jørgensen, R. & Toftegaard, T. S. (2016). Towards Data-Driven Precision Agriculture using Open Data and Open Source Software. Paper presented at International Conference on Agricultural Engineering 2016, Aarhus, Denmark.

Jensen, K., Laursen, M. S., M. Neerup, M., Skriver, M., Larsen, R. & Nyholm Jørgensen, R. (2016). Towards UAV contour flight over agricultural fields using RTK-GNSS and a Digital Elevation Model. Paper presented at International Conference on Agricultural Engineering 2016, Aarhus, Denmark. http://conferences.au.dk/uploads/tx_powermail/2016_cigr_towards_uav_contour_flight_over_agricultural_fields.pdf

Sarabakha, A., Fu, C., Kayacan, E. & Kumbasar, T. (2016). Type-2 Fuzzy Logic Controllers Made Even Simpler: From Design to Deployment in Real-Time for Quadcopter UAVs. Pictures, Video and sound recordings (digital), YouTube. https://www.youtube.com/watch?v=Hz3f8N-30dg

Kayacan, E. & Maslim, R. (2016). Type-2 Fuzzy Logic Trajectory Tracking Control of Quadrotor VTOL Aircraft With Elliptic Membership Functions. IEEE - ASME Transactions on Mechatronics, 22(1), 339-348. https://doi.org/10.1109/TMECH.2016.2614672

Green, O., Edwards, G. T. C., Jæger, C. D., Steen, K. A., Christiansen, P., Dyrmann, M. & Nyholm Jørgensen, R. (2016). Udviklingen inden for præcisionsjordbrug og tilknyttet udstyr. In Plantekongres 2016 (pp. 250-251). Article 66 https://www.landbrugsinfo.dk/Planteavl/Plantekongres/Filer/pl_plk2016_res_66_2_Ole_Green.pdf

Midtiby, H. S., Åstrand, B., Jørgensen, O. & Jørgensen, R. N. (2016). Upper limit for context-based crop classification in robotic weeding applications. Biosystems Engineering, 146, 183-192. https://doi.org/10.1016/j.biosystemseng.2016.01.012

Steen, K. A., Christiansen, P., Karstoft, H. & Nyholm Jørgensen, R. (2016). Using Deep Learning to Challenge Safety Standard for Highly Autonomous Machines in Agriculture. Journal of Imaging, 2(1), Article 6. https://doi.org/10.3390/jimaging2010006

Patrona, F., Iosifidis, A., Tefas, A., Nikolaidis, N. & Pitas, I. (2016). Visual Voice Activity Detection in the Wild. IEEE Transactions on Multimedia, 18(6), 967-977. Article 7420734. http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=7420734

Sarabakha, A. & Kayacan, E. (2016). Y6 tricopter autonomous evacuation in an Indoor Environment using Q-learning algorithm. In 2016 IEEE 55th Conference on Decision and Control, CDC 2016 (pp. 5992-5997). Article 7799189 IEEE . https://doi.org/10.1109/CDC.2016.7799189

Camci, E. & Kayacan, E. (2016). Y6 Waitress Quadcopter Explores How To Serve Drinks By Reinforcement Learning. In 2016 IEEE Region 10 Conference (TENCON) (pp. 28-32)

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

Christiansen, P., Hansen, M. K., Steen, K. A., Karstoft, H. & Nyholm Jørgensen, R. (2015). Advanced sensor platform for human detection and protection in autonomous farming. In J. V. Stafford (Ed.), Precision agriculture '15: Papers presented at the 10th European Conference on Precision Agriculture (Vol. 2015, pp. 291-298). Wageningen Academic Publishers. https://doi.org/10.3920/978-90-8686-814-8_35

Abdullah, S. M. U., Rehman, N. U., Khan, M. M. & Mandic, D. P. (2015). A Multivariate Empirical Mode DecompositionBased Approach to Pansharpening. IEEE Transactions on Geoscience and Remote Sensing, 53(7), 3974-3984. https://doi.org/10.1109/tgrs.2015.2388497

Steen, K. A., Therkildsen, O. R., Karstoft, H. & Green, O. (2015). An adaptive scaring device. International Journal of Sustainable Agricultural Management and Informatics, 1(2), 130-141. https://doi.org/10.1504/IJSAMI.2015.070746

Ravelo, B., Miranda, J., Cabral, J., Wagner, S. R., Pedersen, C. F., Memon, M., Mathiesen, M. & Jastrzebski , A. (2015). Analysis of a Healthcare Platform RF Emission in Indoor Environment. In Proceedings of the IEEE International Symposium on Electromagnetic Compatibility and EMC Europe: EMC 2015 (pp. 1495-1500). IEEE.

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