Author:
Safa Ali,Keuninckx Lars,Gielen Georges,Catthoor Francky
Publisher
Springer Nature Switzerland
Reference26 articles.
1. Baldi, P., & Itti, L. (2010). Of bits and wows: A bayesian theory of surprise with applications to attention. Neural Networks : The Official Journal of the International Neural Network Society, 23, 649–666.
2. Bambagini, M., Marinoni, M., Aydin, H., & Buttazzo, G. (2016). Energy-aware scheduling for real-time systems: A survey. ACM Transactions on Embedded Computing Systems, 15, 1.
3. Catal, O., Jansen, W., Verbelen, T., Dhoedt, B., & Steckel, J. (2021). LatentSLAM: unsupervised multi-sensor representation learning for localization and mapping. In 2021 IEEE International Conference on Robotics and Automation (ICRA) (May 2021). IEEE.
4. Catal, O., Verbelen, T., Wang, N., Hartmann, M., & Dhoedt, B. (2022). Bio-inspired monocular drone slam. In System Engineering for Constrained Embedded Systems (pp. 21–26). New York, NY, USA: DroneSE and RAPIDO, Association for Computing Machinery.
5. Cauwenberghs, G., & Poggio, T. (2000). Incremental and decremental support vector machine learning. In T. Leen, T. Dietterich, & V. Tresp, (Eds.), Advances in neural information processing systems (vol. 13). MIT Press.