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Jukka Heikkonen
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2020 – today
- 2024
- [c71]Rammi Das, Rupesh Raj Karn, Jukka Heikkonen, Rajeev Kumar Kanth:
TNEST: Training Sparse Neural Network for FPGA Based Edge Application. ACR 2024: 15-28 - [c70]Luca Zelioli, Fahimeh Farahnakian, Farshad Farahnakian, Maarit Middleton, Jukka Heikkonen:
Enhancing Peatland Classification using Sentinel-1 and Sentinel-2 Fusion with Encoder-Decoder Architecture. FUSION 2024: 1-7 - [i15]Jatin Kumar Chaudhary, Ivan Jambor, Hannu J. Aronen, Otto Ettala, Jani Saunavaara, Peter J. Boström, Jukka Heikkonen, Rajeev Kumar Kanth, Harri Merisaari:
Cross-Vendor Reproducibility of Radiomics-based Machine Learning Models for Computer-aided Diagnosis. CoRR abs/2407.18060 (2024) - [i14]Jatin Kumar Chaudhary, Dipak Kumar Nidhi, Jukka Heikkonen, Harri Merisaari, Rajiv Kanth:
Super Level Sets and Exponential Decay: A Synergistic Approach to Stable Neural Network Training. CoRR abs/2409.16769 (2024) - 2023
- [j25]Manoj Joshi, Dibakar Raj Pant, Jukka Heikkonen, Rajeev Kumar Kanth:
One, Five, and Ten-Shot-Based Meta-Learning for Computationally Efficient Head Pose Estimation. Int. J. Embed. Real Time Commun. Syst. 14(1): 1-24 (2023) - [j24]Farshad Farahnakian, Florent Nicolas, Fahimeh Farahnakian, Paavo Nevalainen, Javad Sheikh, Jukka Heikkonen, Csaba Raduly-Baka:
A Comprehensive Study of Clustering-Based Techniques for Detecting Abnormal Vessel Behavior. Remote. Sens. 15(6): 1477 (2023) - [c69]Ravi Giri, Dibakar Raj Pant, Jukka Heikkonen, Rajeev Kumar Kanth:
Hybrid Capsule Network for Hyperspectral Image Unmixing and Classification. ACR 2023: 155-168 - [c68]Farshad Farahnakian, Fahimeh Farahnakian, Javad Sheikh, Paavo Nevalainen, Jukka Heikkonen:
Short and Long Term Vessel Movement Prediction for Maritime Traffic. critis 2023: 62-80 - [c67]Dipak Kumar Nidhi, Iiro Seppä, Fahimeh Farahnakian, Luca Zelioli, Jukka Heikkonen, Rajeev Kumar Kanth:
Enhancing Minerals Prospects Mapping with Machine Learning: Addressing Imbalanced Geophysical Datasets and Data Visualization Approaches. FRUCT 2023: 125-135 - [c66]Fahimeh Farahnakian, Luca Zelioli, Timo P. Pitkänen, Jonne Pohjankukka, Maarit Middleton, Sakari Tuominen, Paavo Nevalainen, Jukka Heikkonen:
Multistream Convolutional Neural Network Fusion for Pixel-wise Classification of Peatland. FUSION 2023: 1-8 - [c65]Javad Sheikh, Fahimeh Farahnakian, Farshad Farahnakian, Jukka Heikkonen:
Ice-Water Segmentation Using Deep Convolutional Neural Network-Based Fusion Approach. ICAC 2023: 1-6 - [c64]Javad Sheikh, Fahimeh Farahnakian, Farshad Farahnakian, Jukka Heikkonen:
Sea Ice Concentration Estimation Via Fusion of Sentinel-1 and AMSR2 Based on Encoder-Decoder Architecture. ITSC 2023: 5989-5994 - [c63]Omid Jafari, Stanislav Kolosov, Nhan Vo, Asmita Thapa Magar, Jukka Heikkonen, Rajeev Kumar Kanth:
Intelligent Traffic Light Solution for Green and Sustainable Smart City. MECO 2023: 1-5 - [c62]Fahimeh Farahnakian, Luca Zelioli, Maarit Middleton, Iiro Seppä, Timo P. Pitkänen, Jukka Heikkonen:
CNN-based Boreal Peatland Fertility Classification from Sentinel-1 and Sentinel-2 Imagery. ROSE 2023: 1-7 - 2022
- [c61]Manoj Joshi, Dibakar Raj Pant, Rupesh Raj Karn, Jukka Heikkonen, Rajeev Kumar Kanth:
Meta-Learning, Fast Adaptation, and Latent Representation for Head Pose Estimation. FRUCT 2022: 71-78 - [c60]Rupesh Raj Karn, Rammi Das, Dibakar Raj Pant, Jukka Heikkonen, Rajeev Kumar Kanth:
Automated Testing and Resilience of Microservice's Network-link using Istio Service Mesh. FRUCT 2022: 79-88 - [c59]Jatin Kumar Chaudhary, Dibakar Raj Pant, Suresh Pokharel, Jukka-Pekka Skön, Jukka Heikkonen, Rajeev Kumar Kanth:
Image Quality Assessment by Integration of Low-level & High-Level Features: Threshold Similarity Index. ISIE 2022: 135-141 - 2021
- [c58]Xianjia Yu, Jorge Peña Queralta, Jukka Heikkonen, Tomi Westerlund:
Federated Learning in Robotic and Autonomous Systems. FNC/MobiSPC 2021: 135-142 - [c57]Fahimeh Farahnakian, Lauri Koivunen, Tuomas Mäkilä, Jukka Heikkonen:
Towards Autonomous Industrial Warehouse Inspection. ICAC 2021: 1-6 - [c56]Fahimeh Farahnakian, Luca Zelioli, Jukka Heikkonen:
Transfer Learning for Maritime Vessel Detection using Deep Neural Networks. ITSC 2021: 1-6 - [c55]Xianjia Yu, Qingqing Li, Jorge Peña Queralta, Jukka Heikkonen, Tomi Westerlund:
Applications of UWB Networks and Positioning to Autonomous Robots and Industrial Systems. MECO 2021: 1-6 - [c54]Sherif Abdelmonem Sayed Mohamed, Jawad Naveed Yasin, Mohammad Hashem Haghbayan, Jukka Heikkonen, Hannu Tenhunen, Juha Plosila:
DBA-Filter: A Dynamic Background Activity Noise Filtering Algorithm for Event Cameras. SAI (1) 2021: 685-696 - [c53]Lassi Puurunen, Jatin Kumar Chaudhary, Rajeev Kumar Kanth, Jukka Heikkonen:
Human Presence Detection with Thermal Sensor using Multilayer Perceptron Algorithm. WF-IoT 2021: 669-673 - [i13]Paavo Nevalainen, Parisa Movahedi, Jorge Peña Queralta, Tomi Westerlund, Jukka Heikkonen:
Long-Term Autonomy in Forest Environment using Self-Corrective SLAM. CoRR abs/2101.00043 (2021) - [i12]Xianjia Yu, Qingqing Li, Jorge Peña Queralta, Jukka Heikkonen, Tomi Westerlund:
Applications of UWB Networks and Positioning to Autonomous Robots and Industrial Systems. CoRR abs/2103.13488 (2021) - [i11]Xianjia Yu, Qingqing Li, Jorge Peña Queralta, Jukka Heikkonen, Tomi Westerlund:
Cooperative UWB-Based Localization for Outdoors Positioning and Navigation of UAVs aided by Ground Robots. CoRR abs/2104.00302 (2021) - [i10]Xianjia Yu, Jorge Peña Queralta, Jukka Heikkonen, Tomi Westerlund:
An Overview of Federated Learning at the Edge and Distributed Ledger Technologies for Robotic and Autonomous Systems. CoRR abs/2104.10141 (2021) - 2020
- [j23]Jawad Naveed Yasin, Sherif Abdelmonem Sayed Mohamed, Mohammad Hashem Haghbayan, Jukka Heikkonen, Hannu Tenhunen, Juha Plosila:
Unmanned Aerial Vehicles (UAVs): Collision Avoidance Systems and Approaches. IEEE Access 8: 105139-105155 (2020) - [j22]Jawad Naveed Yasin, Sherif Abdelmonem Sayed Mohamed, Mohammad Hashem Haghbayan, Jukka Heikkonen, Hannu Tenhunen, Muhammad Mehboob Yasin, Juha Plosila:
Energy-Efficient Formation Morphing for Collision Avoidance in a Swarm of Drones. IEEE Access 8: 170681-170695 (2020) - [j21]Qingqing Li, Paavo Nevalainen, Jorge Peña Queralta, Jukka Heikkonen, Tomi Westerlund:
Localization in Unstructured Environments: Towards Autonomous Robots in Forests with Delaunay Triangulation. Remote. Sens. 12(11): 1870 (2020) - [j20]Fahimeh Farahnakian, Jukka Heikkonen:
Deep Learning Based Multi-Modal Fusion Architectures for Maritime Vessel Detection. Remote. Sens. 12(16): 2509 (2020) - [j19]Paavo Nevalainen, Qingqing Li, Timo Melkas, Kirsi Riekki, Tomi Westerlund, Jukka Heikkonen:
Navigation and Mapping in Forest Environment Using Sparse Point Clouds. Remote. Sens. 12(24): 4088 (2020) - [j18]Markus Viljanen, Antti Airola, Anne-Maarit Majanoja, Jukka Heikkonen, Tapio Pahikkala:
Measuring Player Retention and Monetization Using the Mean Cumulative Function. IEEE Trans. Games 12(1): 101-114 (2020) - [c52]Sherif Abdelmonem Sayed Mohamed, Mohammad Hashem Haghbayan, Jukka Heikkonen, Hannu Tenhunen, Juha Plosila:
Towards Real-Time Edge Detection for Event Cameras Based on Lifetime and Dynamic Slicing. AICV 2020: 584-593 - [c51]Fahimeh Farahnakian, Jukka Heikkonen:
Fusing LiDAR and Color Imagery for Object Detection using Convolutional Neural Networks. FUSION 2020: 1-7 - [c50]Valentin Soloviev, Fahimeh Farahnakian, Luca Zelioli, Bogdan Iancu, Johan Lilius, Jukka Heikkonen:
Comparing CNN-Based Object Detectors on Two Novel Maritime Datasets. ICME Workshops 2020: 1-6 - [c49]Fahimeh Farahnakian, Jukka Heikkonen:
A Comparative Study of Deep Learning-based RGB-depth Fusion Methods for Object Detection. ICMLA 2020: 1475-1482 - [c48]Sherif Abdelmonem Sayed Mohamed, Jawad Naveed Yasin, Mohammad Hashem Haghbayan, Antonio Miele, Jukka Heikkonen, Hannu Tenhunen, Juha Plosila:
Dynamic Resource-Aware Corner Detection for Bio-Inspired Vision Sensors. ICPR 2020: 10465-10472 - [c47]Fahimeh Farahnakian, Jukka Heikkonen:
RGB-depth Fusion Framework for Object Detection in Autonomous Vehicles. ICSPCS 2020: 1-6 - [c46]Jawad Naveed Yasin, Sherif Abdelmonem Sayed Mohamed, Mohammad Hashem Haghbayan, Jukka Heikkonen, Hannu Tenhunen, Muhammad Mehboob Yasin, Juha Plosila:
Night vision obstacle detection and avoidance based on Bio-Inspired Vision Sensors. IEEE SENSORS 2020: 1-4 - [c45]Sherif Abdelmonem Sayed Mohamed, Jawad Naveed Yasin, Mohammad Hashem Haghbayan, Antonio Miele, Jukka Heikkonen, Hannu Tenhunen, Juha Plosila:
Asynchronous Corner Tracking Algorithm Based on Lifetime of Events for DAVIS Cameras. ISVC (1) 2020: 530-541 - [c44]Jawad Naveed Yasin, Sherif Abdelmonem Sayed Mohamed, Mohammad Hashem Haghbayan, Jukka Heikkonen, Hannu Tenhunen, Juha Plosila:
Navigation of Autonomous Swarm of Drones Using Translational Coordinates. PAAMS 2020: 353-362 - [i9]Qingqing Li, Paavo Nevalainen, Jorge Peña Queralta, Jukka Heikkonen, Tomi Westerlund:
Localization in Unstructured Environments: Towards Autonomous Robots in Forests with Delaunay Triangulation. CoRR abs/2005.05662 (2020) - [i8]Jonne Pohjankukka, Tapio Pahikkala, Paavo Nevalainen, Jukka Heikkonen:
Estimating the Prediction Performance of Spatial Models via Spatial k-Fold Cross Validation. CoRR abs/2005.14263 (2020) - [i7]Jonne Pohjankukka, Sakari Tuominen, Jukka Heikkonen:
Utilizing remote sensing data in forest inventory sampling via Bayesian optimization. CoRR abs/2009.08420 (2020) - [i6]Jawad Naveed Yasin, Sherif Abdelmonem Sayed Mohamed, Mohammad Hashem Haghbayan, Jukka Heikkonen, Hannu Tenhunen, Muhammad Mehboob Yasin, Juha Plosila:
Dynamic Formation Reshaping Based on Point Set Registration in a Swarm of Drones. CoRR abs/2010.15506 (2020) - [i5]Sherif Abdelmonem Sayed Mohamed, Jawad Naveed Yasin, Mohammad Hashem Haghbayan, Antonio Miele, Jukka Heikkonen, Hannu Tenhunen, Juha Plosila:
Dynamic Resource-aware Corner Detection for Bio-inspired Vision Sensors. CoRR abs/2010.15507 (2020) - [i4]Jawad Naveed Yasin, Sherif Abdelmonem Sayed Mohamed, Mohammad Hashem Haghbayan, Jukka Heikkonen, Hannu Tenhunen, Muhammad Mehboob Yasin, Juha Plosila:
Night vision obstacle detection and avoidance based on Bio-Inspired Vision Sensors. CoRR abs/2010.15509 (2020) - [i3]Sherif Abdelmonem Sayed Mohamed, Jawad Naveed Yasin, Mohammad Hashem Haghbayan, Antonio Miele, Jukka Heikkonen, Hannu Tenhunen, Juha Plosila:
Asynchronous Corner Tracking Algorithm based on Lifetime of Events for DAVIS Cameras. CoRR abs/2010.15510 (2020)
2010 – 2019
- 2019
- [j17]Sherif Abdelmonem Sayed Mohamed, Mohammad Hashem Haghbayan, Tomi Westerlund, Jukka Heikkonen, Hannu Tenhunen, Juha Plosila:
A Survey on Odometry for Autonomous Navigation Systems. IEEE Access 7: 97466-97486 (2019) - [j16]Antti Airola, Jonne Pohjankukka, Johanna Torppa, Maarit Middleton, Vesa Nykänen, Jukka Heikkonen, Tapio Pahikkala:
The spatial leave-pair-out cross-validation method for reliable AUC estimation of spatial classifiers. Data Min. Knowl. Discov. 33(3): 730-747 (2019) - [j15]Rajeev Kumar Kanth, Jukka-Pekka Skon, Arto Toppinen, Kari Lehtomäki, Mikko-Jussi Laakso, Jukka Heikkonen:
Innovative and Efficient Teaching Methodology for Digital Communication Systems Using an e-Learning Platform. J. Commun. 14(8): 689-695 (2019) - [c43]Zhuo Zou, Yi Jin, Paavo Nevalainen, Yuxiang Huan, Jukka Heikkonen, Tomi Westerlund:
Edge and Fog Computing Enabled AI for IoT-An Overview. AICAS 2019: 51-56 - [c42]Fahimeh Farahnakian, Jussi Poikonen, Markus Laurinen, Dimitrios Makris, Jukka Heikkonen:
Visible and Infrared Image Fusion Framework based on RetinaNet for Marine Environment. FUSION 2019: 1-7 - [c41]Sherif Abdelmonem Sayed Mohamed, Mohammad Hashem Haghbayan, Jukka Heikkonen, Hannu Tenhunen, Juha Plosila:
Monocular visual odometry based on hybrid parameterization. ICMV 2019: 114332A - [c40]Sherif Abdelmonem Sayed Mohamed, Mohammad Hashem Haghbayan, Mohammed Rabah, Jukka Heikkonen, Hannu Tenhunen, Juha Plosila:
Towards Dynamic Monocular Visual Odometry Based on an Event Camera and IMU Sensor. INTSYS 2019: 249-263 - [c39]Jawad Naveed Yasin, Mohammad Hashem Haghbayan, Jukka Heikkonen, Hannu Tenhunen, Juha Plosila:
Formation Maintenance and Collision Avoidance in a Swarm of Drones. ISCSIC 2019: 1:1-1:6 - [c38]Fahimeh Farahnakian, Jussi Poikonen, Markus Laurinen, Jukka Heikkonen:
Deep Convolutional Neural Network-based Fusion of RGB and IR Images in Marine Environment. ITSC 2019: 21-26 - [c37]Fahimeh Farahnakian, Parisa Movahedi, Jussi Poikonen, Eero Lehtonen, Dimitrios Makris, Jukka Heikkonen:
Comparative Analysis of Image Fusion Methods in Marine Environment. ROSE 2019: 1-8 - [c36]Jatin Kumar Chaudhary, Jiaqing Liu, Jukka-Pekka Skon, Yen-Wei Chen, Rajeev Kumar Kanth, Jukka Heikkonen:
Optimization of Silicon Tandem Solar Cells Using Artificial Neural Networks. SGAI Conf. 2019: 392-403 - 2018
- [j14]Markus Viljanen, Antti Airola, Jukka Heikkonen, Tapio Pahikkala:
Playtime Measurement With Survival Analysis. IEEE Trans. Games 10(2): 128-138 (2018) - [c35]Fahimeh Farahnakian, Jukka Heikkonen:
A deep auto-encoder based approach for intrusion detection system. ICACT 2018: 178-183 - [c34]Fahimeh Farahnakian, Mohammad Hashem Haghbayan, Jonne Poikonen, Markus Laurinen, Paavo Nevalainen, Jukka Heikkonen:
Object Detection Based on Multi-sensor Proposal Fusion in Maritime Environment. ICMLA 2018: 971-976 - [c33]Rajeev Kumar Kanth, Mikko-Jussi Laakso, Paavo Nevalainen, Jukka Heikkonen:
Future Educational Technology with Big Data and Learning Analytics. ISIE 2018: 906-910 - [c32]Mohammad Hashem Haghbayan, Fahimeh Farahnakian, Jonne Poikonen, Markus Laurinen, Paavo Nevalainen, Juha Plosila, Jukka Heikkonen:
An Efficient Multi-sensor Fusion Approach for Object Detection in Maritime Environments. ITSC 2018: 2163-2170 - 2017
- [j13]Jonne Pohjankukka, Tapio Pahikkala, Paavo Nevalainen, Jukka Heikkonen:
Estimating the prediction performance of spatial models via spatial k-fold cross validation. Int. J. Geogr. Inf. Sci. 31(10): 2001-2019 (2017) - [j12]Paavo Nevalainen, Aura Salmivaara, Jari Ala-Ilomäki, Samuli Launiainen, Juuso Hiedanpää, Leena Finér, Tapio Pahikkala, Jukka Heikkonen:
Estimating the Rut Depth by UAV Photogrammetry. Remote. Sens. 9(12): 1279 (2017) - [c31]Markus Viljanen, Antti Airola, Jukka Heikkonen, Tapio Pahikkala:
A/B-Test of Retention and Monetization Using the Cox Model. AIIDE 2017: 248-254 - [c30]Paavo Nevalainen, Ivan Jambor, Jonne Pohjankukka, Jukka Heikkonen, Tapio Pahikkala:
Triangular Curvature Approximation of Surfaces - Filtering the Spurious Mode. ICPRAM 2017: 684-692 - [i2]Markus Viljanen, Antti Airola, Jukka Heikkonen, Tapio Pahikkala:
Playtime Measurement with Survival Analysis. CoRR abs/1701.02359 (2017) - 2016
- [j11]Paavo Nevalainen, Maarit Middleton, Raimo Sutinen, Jukka Heikkonen, Tapio Pahikkala:
Detecting Terrain Stoniness From Airborne Laser Scanning Data. Remote. Sens. 8(9): 720 (2016) - [c29]Markus Viljanen, Antti Airola, Tapio Pahikkala, Jukka Heikkonen:
Modelling user retention in mobile games. CIG 2016: 1-8 - [c28]Markus Viljanen, Antti Airola, Tapio Pahikkala, Jukka Heikkonen:
User activity decay in mobile games determined by simple differential equations? CIG 2016: 1-8 - [c27]Paavo Nevalainen, M. Hashem Haghbayan, Antti Kauhanen, Jonne Pohjankukka, Mikko-Jussi Laakso, Jukka Heikkonen:
Real-Time Swimmer Tracking on Sparse Camera Array. ICPRAM (Revised Selected Papers) 2016: 156-174 - [c26]Paavo Nevalainen, Antti Kauhanen, Csaba Raduly-Baka, Mikko-Jussi Laakso, Jukka Heikkonen:
Video based Swimming Analysis for Fast Feedback. ICPRAM 2016: 457-466 - [i1]Vibhor Kumar, Jukka Heikkonen:
Denoising with flexible histogram models on Minimum Description length principle. CoRR abs/1601.04388 (2016) - 2015
- [c25]Helvi Nyerwanire, Erja Mustonen-Ollila, Antti Valpas, Jukka Heikkonen:
Knowledge Management Problems in Paediatrics and Paediatrics Neurology Departments. KMIS 2015: 234-241 - [c24]Paavo Nevalainen, Maarit Middleton, Ilkka Kaate, Tapio Pahikkala, Raimo Sutinen, Jukka Heikkonen:
Detecting stony areas based on ground surface curvature distribution. IPTA 2015: 581-587 - 2014
- [c23]Erja Mustonen-Ollila, Antti Valpas, Jukka Heikkonen, Helvi Nyerwanire:
Knowledge Management Theory Creation in Healthcare Environment. EPS 2014 - [c22]Erja Mustonen-Ollila, Jukka Heikkonen, Philip Powell:
Actors and Factors in IS Process Innovation Decisions. KDIR 2014: 202-209 - [c21]Helvi Nyerwanire, Erja Mustonen-Ollila, Antti Valpas, Jukka Heikkonen:
Knowledge Management Problems in Hospital Work - A Case Study on Experiences in the Obstetrics and Gynaecology Department. KMIS 2014: 261-267 - [c20]Jonne Pohjankukka, Paavo Nevalainen, Tapio Pahikkala, Pekka Hänninen, Eija Hyvönen, Raimo Sutinen, Jukka Heikkonen:
Arctic Soil Hydraulic Conductivity and Soil Type Recognition Based on Aerial Gamma-Ray Spectroscopy and Topographical Data. ICPR 2014: 1822-1827 - [c19]Jonne Pohjankukka, Paavo Nevalainen, Tapio Pahikkala, Eija Hyvönen, Pekka Hänninen, Raimo Sutinen, Jari Ala-Ilomäki, Jukka Heikkonen:
Predicting Water Permeability of the Soil Based on Open Data. AIAI 2014: 436-446 - 2013
- [p1]Jukka Heikkonen, Domenico Perrotta, Marco Riani, Francesca Torti:
Issues on Clustering and Data Gridding. Classification and Data Mining 2013: 37-44
2000 – 2009
- 2008
- [c18]Erja Mustonen-Ollila, Jukka Heikkonen:
Information System Process Innovation Evolution Paths. ICEIS (3-1) 2008: 171-178 - 2007
- [j10]Jorma Rissanen, Peter D. Grünwald, Jukka Heikkonen, Petri Myllymäki, Teemu Roos, Juho Rousu:
Information Theoretic Methods for Bioinformatics. EURASIP J. Bioinform. Syst. Biol. 2007 (2007) - [c17]Janne Ojanen, Jukka Heikkonen:
A soft thresholding approach for MDL denoising. EUSIPCO 2007: 1083-1087 - 2006
- [j9]Vibhor Kumar, Jukka Heikkonen, Jorma Rissanen, Kimmo Kaski:
Minimum Description Length Denoising With Histogram Models. IEEE Trans. Signal Process. 54(8): 2922-2928 (2006) - 2003
- [j8]Timo Koskela, Jukka Heikkonen, Kimmo Kaski:
Web cache optimization with nonlinear model using object features. Comput. Networks 43(6): 805-817 (2003) - 2002
- [j7]José del R. Millán, Josep Mouriño, Marco Franzé, Febo Cincotti, Markus Varsta, Jukka Heikkonen, Fabio Babiloni:
A local neural classifier for the recognition of EEG patterns associated to mental tasks. IEEE Trans. Neural Networks 13(3): 678-686 (2002) - [c16]Sami S. Brandt, Jukka Heikkonen, Peter Engelhardt:
On the Alignment of Transmission Electron Microscope Images without Fiducial Markers. ICPR (2) 2002: 278-281 - 2001
- [j6]Markus Varsta, Jukka Heikkonen, Jouko Lampinen, José del R. Millán:
Temporal Kohonen Map and the Recurrent Self-Organizing Map: Analytical and Experimental Comparison. Neural Process. Lett. 13(3): 237-251 (2001) - [c15]Timo Koskela, Jukka Heikkonen, Kimmo Kaski:
Using Document Features to Optimize Web Cache. ICANN 2001: 1211-1216 - [c14]Sami S. Brandt, Jukka Heikkonen:
Optimal Method for the Affine F-Matrix and Its Uncertainty Estimation in the Sense of both Noise and Outliers. ICCV 2001: 166-173 - [c13]Sami S. Brandt, Jukka Heikkonen:
Multi-resolution matching of uncalibrated images utilizing epipolar geometry and its uncertainty. ICIP (2) 2001: 213-216 - 2000
- [j5]Sami S. Brandt, Jukka Heikkonen:
A Bayesian weighting principle for the fundamental matrix estimation. Pattern Recognit. Lett. 21(12): 1081-1092 (2000) - [c12]Markus Varsta, Jukka Heikkonen, Jouko Lampinen:
Analytical comparison of the Temporal Kohonen Map and the Recurrent Self Organizing Map. ESANN 2000: 273-280 - [c11]Markus Varsta, Jukka Heikkonen, José del R. Millán, Josep Mouriño:
Evaluating the Performance of Three Feature Sets for Brain-Computer Interfaces with an Early Stopping MLP Committee. ICPR 2000: 2907-2910 - [c10]José del R. Millán, Josep Mouriño, Fabio Babiloni, Febo Cincotti, Markus Varsta, Jukka Heikkonen:
Local Neural Classifier for EEG-Based Recognition of Mental Tasks. IJCNN (3) 2000: 632-636 - [c9]Sami S. Brandt, Jukka Heikkonen:
A Fully Automatic Alignment of Electron Tomography Images without Fiducial Markers. MVA 2000: 307-310 - [c8]Sami S. Brandt, Jukka Heikkonen:
A New Robust Bayesian Method for the Affine F-Matrix Estimation. VMV 2000: 39-46
1990 – 1999
- 1999
- [c7]José del R. Millán, Josep Mouriño, Jukka Heikkonen, Kimmo Kaski, Fabio Babiloni, Maria Grazia Marciani, F. Topani, I. Canale:
Adaptive Brain Interfaces. IWANN (2) 1999: 219-227 - 1998
- [c6]Timo Koskela, Markus Varsta, Jukka Heikkonen, Kimmo Kaski:
Recurrent SOM with local linear models in time series prediction. ESANN 1998: 167-172 - [c5]Timo Koskela, Markus Varsta, Jukka Heikkonen, Kimmo Kaski:
Temporal sequence processing using recurrent SOM. KES (1) 1998: 290-297 - 1997
- [c4]Markus Varsta, José del R. Millán, Jukka Heikkonen:
A Recurrent Self-Organizing Map for Temporal Sequence Processing. ICANN 1997: 421-426 - 1996
- [j4]Jukka Heikkonen, Abhay B. Bulsari:
Special issue on neural networks for computer vision applications. Pattern Recognit. Lett. 17(4): 317-318 (1996) - [j3]Jukka Heikkonen:
A computer vision approach to air flow analysis. Pattern Recognit. Lett. 17(4): 369-385 (1996) - [j2]Jukka Heikkonen, Mika Mantynen:
A computer vision approach to digit recognition on pulp bales. Pattern Recognit. Lett. 17(4): 413-419 (1996) - 1995
- [j1]Jukka Heikkonen:
Recovering 3-D motion parameters from optical flow field using randomized Hough transform. Pattern Recognit. Lett. 16(9): 971-978 (1995) - 1994
- [c3]Jukka Heikkonen, Pasi Koikkalainen, Christoph Schnörr:
Learning motion trajectories via self-organization. ICPR (2) 1994: 554-556 - 1993
- [c2]Jukka Heikkonen:
Recovering Translational Motion Parameters from Image Sequences Using Randomized Hough Transform. CAIP 1993: 395-402 - 1992
- [c1]Jukka Heikkonen:
Video recording and digital image processing in analyzing air flows. ICPR (1) 1992: 129-132