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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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Bäckström, T., Pedersen, C. F., Fischer, J., Hüttenberger, M. & Alfonso, P. (2015). Concept for Encoding of Information. (Patent No. EP20140158396).

Ahmadieh Khanesar, M. & Kayacan, E. (2015). Controlling the Pitch and Yaw Angles of a 2-DOF Helicopter Using Interval Type-2 Fuzzy Neural Networks. In X. Yu & M. Önder Efe (Eds.), Recent Advances in Sliding Modes: From Control to Intelligent Mechatronics (pp. 349 - 370). Springer. https://doi.org/10.1007/978-3-319-18290-2

Rasmussen, S., Nyboe, N. S., Mai, S. S. & Larsen, J. J. (2015). Deconvolution of AEM Data via Analytically Described System Responses. In First European Airborne Electromagnetics Conference (Vol. 2015). European Association of Geoscientists and Engineers. https://doi.org/10.3997/2214-4609.201413882

Larsen, J. J. & Auken, E. (2015). Despiking of magnetic resonance sounding signals. Paper presented at The 6th International Workshop on Magnetic Resonance, Aarhus , Denmark. http://hgg.au.dk/fileadmin/www.dna18.au.dk/MRS2015_program.pdf

Steen, K. A., Therkildsen, O. R., Green , O. & Karstoft, H. (2015). Detection of Bird Nests during Mechanical Weeding by Incremental Background Modeling and Visual Saliency. Sensors, 15(3), 5096-5111. https://doi.org/10.3390/s150305096

Iosifidis, A., Tefas, A. & Pitas, I. (2015). Distance-based Human Action Recognition using optimized class representations. Neurocomputing, 161, 47-55. https://doi.org/10.1016/j.neucom.2014.10.088

Fiandaca, G., Olsson, P-I., Auken, E., Larsen, J. J., Maurya, P. K. & Dahlin, T. (2015). Doubling the Spectrum of Time-Domain Induced Polarization: Removal of Harmonic Noise and Self-Potential Drift. Abstract from AGU Fall Meeting 2015, San Fransisco, United States. https://agu.confex.com/agu/fm15/meetingapp.cgi/Paper/75469

Iosifidis, A., Tefas, A. & Pitas, I. (2015). DropELM: Fast Neural Network Regularization with Dropout and DropConnect. Neurocomputing, 162, 57-66. https://doi.org/10.1016/j.neucom.2015.04.006

Sridharan, K. S., Johnsen, E. L., Nielsen, A. H., Beniczky, S., Johansen, L. G., Sunde, N. & Østergaard, K. (2015). Effect of deep brain stimulation (DBS) and medication on somatosensory function in Parkinson’s disease (PD). Poster session presented at Nordic Congress of Clinical Neurophysiology, Helsingør, Denmark.

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

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

Mortensen, A. K., Gislum, R., Larsen, R. & Nyholm Jørgensen, R. (2015). Estimation of above-ground dry matter and nitrogen uptake in catch crops using images acquired from an octocopter. In J. V. Stafford (Ed.), Precision agriculture '15: Papers presented at the 10th European Conference on Precision Agriculture (Vol. 2015, pp. 127-134). Wageningen Academic Publishers. https://doi.org/10.3920/978-90-8686-814-8_15

Mademlis, I., Iosifidis, A., Tefas, A., Nikolaidis, N. & Pitas, I. (2015). Exploiting Stereoscopic Disparity for Augmenting Human Activity Recognition Performance. Multimedia Tools and Applications, 75(19), 11641-11660. https://doi.org/10.1007/s11042-015-2719-x

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. (2015). Extreme Learning Machine based Supervised Subspace Learning. Neurocomputing, 167, 158-164. https://doi.org/10.1016/j.neucom.2015.04.083

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

Ahmadieh Khanesar, M., Kayacan, E., Reyhanoglu, M. & Kaynak, O. (2015). Feedback Error Learning Control of Magnetic Satellites Using Type-2 Fuzzy Neural Networks With Elliptic Membership Functions. IEEE Transactions on Cybernetics, 45(4), 858-868. https://doi.org/10.1109/TCYB.2015.2388758

Nyholm Jørgensen, R., Brandt , M. B., Schmidt, T., Laursen, M. S., Larsen, R., Nørremark, M., Midtiby, H. S. & Christiansen, P. (2015). Field trial design using semi-automated conventional machinery and aerial drone imaging for outlier identification. In J. V. Stafford (Ed.), Precision agriculture '15: Papers presented at the 10th European Conference on Precision Engineering (Vol. 2015, pp. 151-158). Wageningen Academic Publishers. https://doi.org/10.3920/978-90-8686-814-8_18

Bäckström, T., Pedersen, C. F., Fischer, J. & Pietrzyk, G. (2015). Finding Line Spectral Frequencies Using the Fast Fourier Transform. In Proceedings of the 2015 IEEE International Conference on Acoustics, Speech and Signal Processing: ICASSP (pp. 5122-5126). IEEE. https://doi.org/10.1109/ICASSP.2015.7178947

Olesen, C. R., Nyholm Jørgensen, R., Nielsen, L. & Fris, H. J. (2015). Flere og flere rådyr bliver ofre ved græsslæt. Effektivt Landbrug.

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

Iosifidis, A., Tefas, A. & Pitas, I. (2015). Graph Embedded Extreme Learning Machine. IEEE Transactions on Cybernetics, 46(1), 311-324. https://doi.org/10.1109/TCYB.2015.2401973

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., Tefas, A. & Pitas, I. (2015). Human Action Recognition based on Multi-view Regularized Extreme Learning Machine. International Journal on Artificial Intelligence Tools, 24(5), Article 1540020. https://doi.org/10.1142/S0218213015400205

Tu, G. J., Karstoft, H., Pedersen, L. J. & Jørgensen, E. (2015). Illumination and Reflectance Estimation with its Application in Foreground Detection. Sensors, 15(9), 21407-21426. https://doi.org/10.3390/s150921407

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., 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

Ahmadieh Khanesar, M. & Kayacan, E. (2015). Levenberge-Marquardt Training Method for Type-2 Fuzzy Neural Networks and Its Stability Analysis. In Fuzzy Systems (FUZZ-IEEE), 2015 IEEE International Conference on (pp. 1-7). IEEE. https://doi.org/10.1109/FUZZ-IEEE.2015.7338101

Tu, G. J. & Karstoft, H. (2015). Logarithmic dyadic wavelet transform with its applications in edge detection and reconstruction. Applied Soft Computing, 26, 193-201. https://doi.org/10.1016/j.asoc.2014.09.044

Larsen, J. J., Dalgaard, E. B., Christiansen, P. & Auken, E. (2015). Mapping of electromagnetic noise in a magnetic resonance sounding context. In ASEG Extended Abstracts - 24th International Geophysical Conference and Exhibition: Geophysics and Geology Together for Discovery (Vol. 2015/1). CSIRO Publishing. https://doi.org/10.1071/ASEG2015ab241

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., 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

Christiansen, M. P. & Nyholm Jørgensen, R. (2015). Method for recording and predicting position data for a selfpropelled wheeled vehicle, and delivery or pick up system comprising a self-propelled, self-guided wheeled vehicle. (Patent No. DK178276 (B1) ).

Nyholm Jørgensen, R., Steen, K. A. & Olesen, C. R. (2015). Method for removing animals from a field. (Patent No. DK2015/050155).

Gislum, R., Nyholm Jørgensen, R. & Mortensen, A. K. (2015). Mulige gevinster ved gradueret gødskning på basis af droneoptagelser. Abstract from Plantekongres 2015, Herning, Denmark.

Nyholm Jørgensen, R. & Nørremark, M. (2015). Muligheder og perspektiver i anvendelse af robotter i roer, gulerødder og kartofler. Abstract from Plantekongres 2015, Herning, Denmark.

Bahner , K., Larsen, J. J. & Auken, E. (2015). Multichannel magnetic resonance sounding with wirelessly operated coils – A design study. Poster session presented at The 6th International Workshop on Magnetic Resonance, Aarhus , Denmark. http://hgg.au.dk/fileadmin/www.dna18.au.dk/MRS2015_program.pdf

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-

Rubio Hervas, J., Reyhanoglu, M., Tang, H. & Kayacan, E. (2015). Nonlinear control of fixed-wing UAVs in presence of stochastic winds. Communications in Nonlinear Science and Numerical Simulation, 33, 57-69. https://doi.org/10.1016/j.cnsns.2015.08.026

Hansen, M. K., Nyholm Jørgensen, R. & Pedersen, H. (2015). Object Detection and Terrain Classification in Agricultural Fields using 3D Lidar Data. In Computer Vision Systems: 10th International Conference, ICVS 2015, Proceedings (Vol. 9163, pp. 188-197). Springer. https://doi.org/10.1007/978-3-319-20904-3_18

Iosifidis, A. & Gabbouj, M. (2015). On the kernel Extreme Learning Machine speedup. Pattern Recognition Letters, 68/1, 205-210. https://doi.org/10.1016/j.patrec.2015.09.015

Ahmadieh Khanesar, M., Kayacan, E. & Kaynak, O. (2015). Optimal Sliding Mode Type-2 TSK Fuzzy Control of a 2-DOF Helicopter. In Fuzzy Systems (FUZZ-IEEE), 2015 IEEE International Conference on (pp. 1-6). IEEE . https://doi.org/10.1109/FUZZ-IEEE.2015.7337799

Maslim, R., Chaoyi, H., Yixi, Z., Linhao, J., Bahadir Kocer, B. & Kayacan, E. (2015). Performance evaluation of adaptive and nonadaptive fuzzy structures for 4D trajectory tracking of quadrotors: A comparative study. In Fuzzy Systems (FUZZ-IEEE), 2015 IEEE International Conference on (pp. 1-7). IEEE. https://doi.org/10.1109/FUZZ-IEEE.2015.7337945

Jun Hao Nicholas, N., Bahadir Kocer, B., Kayacan, E. & Wai Yee, Y. (2015). Piezoceramic Materials for Energy Harvesting on 3D Printed Unmanned Aerial Vehicles: A Feasibility Study. In Humanitarian Technology Conference (R10-HTC), 2015 IEEE Region 10 (pp. 1-4). IEEE. https://doi.org/10.1109/R10-HTC.2015.7391845

Larsen, J. J. & Behroozmand, A. A. (2015). Processing of Surface-NMR Data From Sites With High Noise. Abstract from AGU Fall Meeting 2015, San Fransisco, United States. https://agu.confex.com/agu/fm15/meetingapp.cgi/Paper/69401

Miranda, J., Cabral, J., Ravelo, B., Wagner, S. R., Pedersen, C. F., Memon, M. & Mathiesen, M. (2015). Radiated EMC immunity investigation of common recognition identification platform for medical applications. Journal of Physics D: Applied Physics, 69(1). https://doi.org/10.1051/epjap/2014140230

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

Ravelo, B., Miranda, J., Cabral, J., Wagner, S. R., Pedersen, C. F., Memon, M., Mathiesen, M. & Lalléchère, S. (2015). RF and EMC Investigation on CRIP System for the E-Healthcare CareStore Platform. In 9th European Conference on Antennas and Propagation (EuCAP) 2015 IEEE. http://ieeexplore.ieee.org.ez.statsbiblioteket.dk:2048/xpl/articleDetails.jsp?arnumber=7228157&newsearch=true&queryText=ravelo%20emc%20rf

Christiansen, M. P., Larsen, P. G. & Nyholm Jørgensen, R. (2015). Robotic Design Choice Overview using Co-simulation and Design Space Exploration. Robotics, 4, 398-421. https://doi.org/10.3390/robotics4040398

Dyrmann, M. & Nyholm Jørgensen, R. (2015). RoboWeedSupport: Weed recognition for reduction of herbicide consumption. In J. V. Stafford (Ed.), Precision agriculture '15: Papers presented at the 10th European Conference on Precision Agriculture Volcani Center, Israel 12-16 July 2015 (pp. 571-578). Wageningen Academic Publishers. https://doi.org/10.3920/978-90-8686-814-8_71, https://doi.org/10.3920/978-90-8686-814-8

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