Peter Auer
Research output
- Published
Generic object recognition with Boosting
Opelt, A., Pinz, A., Fussenegger, M. & Auer, P., 2006, In: IEEE Transactions on Pattern Analysis and Machine Intelligence. 28, p. 416-431Research output: Contribution to journal › Article › Research › peer-review
- Published
Weak hypotheses and boosting for generic object detection and recognition
Opelt, A., Fussenegger, M., Pinz, A. & Auer, P., 2004, Computer Vision - ECCV 2004, 8th European Conference on Computer Vision. p. 71-84Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
- Published
Autonomous Exploration For Navigating In MDPs.
Lim, S. H. & Auer, P., 2012, Proceedings of the 25th Annual Conference on Learning Theory. p. 40.1-40.24Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
- Published
An efficient search algorithm for content-based image retrieval with user feedback
Leung, P. & Auer, P., 2008, An efficient search algorithm for content-based image retrieval with user feedback. p. 0-0Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
- Published
Multi-Armed Bandits in IEEE 802.11ac: Efficient Algorithms and Testbed Experiments
Le, M., Bile, P., Pawar, S. P., Auer, P., Thapa, P. D., Hühn, T. & Jorswieck, E. A., 2024, 2024 IEEE International Workshop Technical Committee on Communications Quality and Reliability (CQR).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
The Perceptron algorithm versus Winnow: Linear versus logarithmic mistake bounds when few input variables are relevant
Kivinen, J., Warmuth, M. K. & Auer, P., 1 Dec 1997, In: Artificial intelligence. 97, 1-2, p. 325-343 19 p.Research output: Contribution to journal › Article › Research › peer-review
- Published
Particle Size Estimation in Mixed Commercial Waste Images Using Deep Learning
Kittiworapanya, P., Pasupa, K. & Auer, P., 29 Jun 2021, IAIT 2021 - 12th International Conference on Advances in Information Technology: Intelligence and Innovation for Digital Business and Society. Association for Computing Machinery (ACM), 3471273. (ACM International Conference Proceeding Series).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
- Published
PAC Subset Selection in Stochastic Multi-armed Bandits
Kalyanakrishnan, S., Tewari, A., Auer, P. & Stone, P., 2012, Proceedings of the 29th International Conference on Machine Learning, ICML 2012.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
- Published
Near-optimal Regret Bounds for Reinforcement Learning
Jaksch, T., Ortner, R. & Auer, P., 2010, In: Journal of machine learning research (JMLR). 11, p. 1563-1600Research output: Contribution to journal › Article › Research › peer-review
- Published
Exploration-Exploitation of Eye Movement Enriched Multiple Feature Spaces for Content-Based Image Retrieval
Hussain, Z., Leung, P., Pasupa, K., Hardoon, D., Auer, P. & Shawe-Taylor, J., 2010, Exploration-Exploitation of Eye Movement Enriched Multiple Feature Spaces for Content-Based Image Retrieval. p. 2010-2010Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
