An integrated system for incremental learning of multiple visual categories

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 5506 LNCS, Issue PART 1, 2009, Pages 813-820

  Kirstein, Stephan ^a,b   Wersing, Heiko ^b   Gross, Horst Michael ^a   Körner, Edgar ^b  

^a ILMENAU UNIVERSITY OF TECHNOLOGY   (Germany)

^b HONDA RESEARCH INSTITUTE EUROPE GMBH   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

ARBITRARY NUMBER; BACKGROUND SEPARATION; BIOLOGICALLY INSPIRED; FEATURE EXTRACTION METHODS; FEATURE SELECTION; INCREMENTAL LEARNING; INTEGRATED SYSTEMS; LIFE LONG LEARNING; VIEWING ANGLE; VISION SYSTEMS; VISUAL CATEGORIZATION;

DATA PROCESSING; INTEGRATED OPTICS; LEARNING SYSTEMS;

FEATURE EXTRACTION;

EID: 70349127698     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-02490-0_99     Document Type: Conference Paper

References (14)

1. Denecke, A., Wersing, H., Steil, J.J., Korner, E.: Robust Object Segmentation by Adaptive Metrics in Generalized LVQ. In: Proc. ESANN, pp. 319-324 (2008)
2. Fritz, M., Kruijff, G.-J.M., Schiele, B.: Cross-Modal Learning of Visual Categories using Different Levels of Supervision. In: Proc. ICVS Conference (2007)
3. Guyon, I., Elisseeff, A.: An Introduction to Variable and Feature Selection. Journal of Machine Learning Research 3, 1157-1182 (2003)
4. Hasler, H., Wersing, H., Korner, E.: A Comparison of Features in Parts-based Object Recognition Hierarchies. In: de Sa, J.M., Alexandre, L.A., Duch, W., Mandic, D.P. (eds.) ICANN 2007. LNCS, vol.4669, pp. 210-219. Springer, Heidelberg (2007)
5. Kirstein, S., Wersing, H., Korner, E.: A Biologically Motivated Visual Memory Architecture for Online Learning of Objects. Neural Networks 21, 65-77 (2008)
6. Kirstein, S., Wersing, H., Gross, H.M., Korner, E.: A Vector Quantization Approach for Life-Long Learning of Categories. In: ICONIP 2008 (2008) (submitted)
7. Kohonen, T.: Self-Organizing and Associative Memory. Springer Series in Information Sciences, 3rd edn. Springer, Heidelberg (1989)
8. Leibe, B., Leonardis, A., Schiele, B.: Combined Object Categorization and Segmentation with an Implicit Shape Model. In: ECCV 2004 Workshop on Statistical Learning in Computer Vision (2004)
9. Roth, P.M., Donoser, M., Bischof, H.: On-line Learning of Unknown Hand Held Objects via Tracking. In: Proc. Int. Conf. on Computer Vision Systems (2006)
10. Schneider, P., Biehl, M., Hammer, B.: Relevance Matrices in LVQ. In: Similarity-based Clustering and its Applications to Medecine and Biology (2007)
11. Sko caj, D., Berginc, G., Ridge, B., Stimec, A., Jogan, M., Vanek, O., Leonardis, A., Hutter, M., Hawes, N.: A System for Continuous Learning of Visual Concepts. In: Proc. ICVS (2007)
12. Swain, M.J., Ballard, D.H.: Color Indexing. Int. J. of Computer Vision 7(1), 11-32 (1991)
13. Wersing, H., Korner, E.: Learning Optimized Features for Hierarchical Models of Invariant Object Recognition. Neural Computation 15(7), 1559-1588 (2003)
14. Wersing, H., Kirstein, S., Goetting, M., Brandl, H., Dunn, M., Mikhailova, I., Goerick, C., Steil, J.J., Ritter, H., Korner, E.: Online Learning of Objects in a Biologically Motivated Architecture. Int. J. of Neural Systems 17, 219-230 (2007)