Online learning:

• H. Grabner, H. Bischof, "Online boosting and vision", CVPR 2006

• K. Crammer, O. Dekel, J. Keshet, S. Shalev-Shwartz, Y. Singer, "Online passive-aggressive algorithms", Journal of Machine Learning Research, 2006

• A. Opelt, A. Pinz, A. Zisserman, "Incremental learning of object detectors using a visual shape alphabet", CVPR 2006

• I. Autio, J. Lindgren, "Online learning of discriminative patterns from unlimited sequences of candidates", ICPR 2006

• M. Gotting, J. Steil, H. Wersing, E. Korner, H. Ritter, "Adaptive scene-dependent filters in online learning environments", ESANN 2006

• O. Javed, S. Ali, M. Shah, "Online detection and classification of moving objects using progressively improving detectors", CVPR 2005

• P. Roth, H. Grabner, D. Skocaj, H. Bischof, A. Leonardis, "Online conservative learning for person detection", VS-PETS 2005

• K. Lee, D. Kriegman, "Online learning of probabilistic appearance manifolds for video-based recognition and tracking", CVPR 2005

• S. Shalev-Shwartz, Y. Singer, A. Ng, "Online and batch learning of pseudo-metrics", ICML 2004

• A. Topchy, B. Minaei-Bidgoli, A. Jain, W. Punch, "Adaptive clustering ensembles", ICPR 2004

• D. Tax, P. Laskov, "Online SVM learning from classification to data description and back", NNSP 2003

• S. Li, Q. Zhang, H. Shum, H. Zhang, "FloatBoost learning for classification", NIPS 2002

• K. Väinämö, J. Röning, P. Laurinen, "Smart archive for online learning systems", ToolMet 2000

• L. Kaelbling, M. Littman, A. Moore, "Reinforcement learning: a survey", JAIR 1996

(papers are copyrighted to original authors)