Department of Signal Processing
Research unit: Department
- 2019
- Published
Multimodal Machine Learning-based Knee Osteoarthritis Progression Prediction from Plain Radiographs and Clinical Data
Tiulpin, A., Klein, S., Bierma-Zeinstra, S. M. A., Thevenot, J., Rahtu, E., Meurs, J. V., Oei, E. H. G. & Saarakkala, S., 1 Dec 2019, In : Scientific Reports. 9, 1, 20038.Research output: Contribution to journal › Article › Scientific › peer-review
Full text:
- Published
Semantic segmentation with inexpensive simulated data
Peltomäki, J., Chen, M. & Huttunen, H., Oct 2019, 2019 IEEE Nordic Circuits and Systems Conference (NORCAS): NORCHIP and International Symposium of System-on-Chip (SoC). IEEE, 6 p.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review
Full text:
- Published
Comparing Optimization Methods of Neural Networks for Real-time Inference
Khan, M., Lunnikivi, H., Huttunen, H. & Boutellier, J., 3 Sep 2019, 2019 27th European Signal Processing Conference (EUSIPCO). IEEE, 5 p. (European Signal Processing Conference).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review
Full text:
- Published
DL-CFAR: A Novel CFAR Target Detection Method Based on Deep Learning
Lin, C-H., Lin, Y-C., Bai, Y., Chung, W-H., Lee, T-S. & Huttunen, H., 1 Sep 2019, 2019 IEEE 90th Vehicular Technology Conference (VTC2019-Fall). IEEE, 6 p. (IEEE Vehicular Technology Conference).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review
Full text:
- Published
Rethinking the Evaluation of Video Summaries
Otani, M., Nakashima, Y., Rahtu, E. & Heikkilä, J., Jun 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, p. 7588-7596 9 p. (IEEE/CVF Conference on Computer Vision and Pattern Recognition).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review
Full text:
- Published
Cumulative Attribute Space Regression for Head Pose Estimation and Color Constancy
Chen, K., Jia, K., Huttunen, H., Matas, J. & Kämäräinen, J., Mar 2019, In : Pattern Recognition. 87, p. 29-37Research output: Contribution to journal › Article › Scientific › peer-review
Full text:
- Published
An Integrated Hardware/Software Design Methodology for Signal Processing Systems
Li, L., Sau, C., Fanni, T., Li, J., Viitanen, T., Christophe, F., Palumbo, F., Raffo, L., Huttunen, H., Takala, J. & Bhattacharyya, S. S., Feb 2019, In : Journal of Systems Architecture. 93, p. 1-19Research output: Contribution to journal › Article › Scientific › peer-review
Full text:
- Published
Guest Editorial: Special Issue on Machine Learning Implementations
Huttunen, H., Chen, K. & Zhang, Z., Feb 2019, In : Journal of Signal Processing Systems. 91, 2, p. 115-116Research output: Contribution to journal › Article › Scientific
Full text:
- Published
Modeling lens optics and rendering virtual views from fisheye imagery
Gama, F., Georgiev, M. & Gotchev, A., 13 Jan 2019, Electronic Imaging, Image Processing: Algorithms and Systems XVII. (IS&T International Symposium on Electronic Imaging).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review
Full text:
- Published
Deep Neural Networks: A Signal Processing Perspective
Huttunen, H., 2019, Handbook of Signal Processing Systems. 3 ed. Springer, p. 133-163Research output: Chapter in Book/Report/Conference proceeding › Chapter › Scientific › peer-review
Full text:
ID: 22336