Image hub explorer: Evaluating representations and metrics for content-based image retrieval and object recognition

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

Volumn 8190 LNAI, Issue PART 3, 2013, Pages 637-640

  Tomašev, Nenad ^a   Mladenić, Dunja ^a  

^a JO EF STEFAN INSTITUTE   (Slovenia)

Author keywords

high dimensional data; hubs; image retrieval; k nearest neighbors; metric learning; object recognition; re ranking; visualization

Indexed keywords

HIGH DIMENSIONAL DATA; HUBS; K-NEAREST NEIGHBORS; METRIC LEARNING; RE-RANKING;

CONTENT BASED RETRIEVAL; DATA VISUALIZATION; FLOW VISUALIZATION; IMAGE RETRIEVAL; LEARNING SYSTEMS; SEMANTICS;

OBJECT RECOGNITION;

EID: 84886547290     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-40994-3_44     Document Type: Conference Paper

References (15)

1. Radovanović, M., Nanopoulos, A., Ivanović, M.: Hubs in space: Popular nearest neighbors in high-dimensional data. Journal of Machine Learning Research 11, 2487-2531 (2010)
2. Tomašev, N., Brehar, R., Mladenić, D., Nedevschi, S.: The influence of hubness on nearest-neighbor methods in object recognition. In: Proceedings of the 7th IEEE International Conference on Intelligent Computer Communication and Processing (ICCP), pp. 367-374 (2011)
3. Aucouturier, J., Pachet, F.: Improving timbre similarity: How high is the sky? Journal of Negative Results in Speech and Audio Sciences 1 (2004)
4. Schnitzer, D., Flexer, A., Schedl, M., Widmer, G.: Local and global scaling reduce hubs in space. Journal of Machine Learning Research, 2871-2902 (2012)
5. François, D., Wertz, V., Verleysen, M.: The concentration of fractional distances. IEEE Transactions on Knowledge and Data Engineering 19(7), 873-886 (2007)
6. Radovanović, M., Nanopoulos, A., Ivanović, M.: Nearest neighbors in high-dimensional data: The emergence and influence of hubs. In: Proc. 26th Int. Conf. on Machine Learning (ICML), pp. 865-872 (2009)
7. Buza, K., Nanopoulos, A., Schmidt-Thieme, L.: INSIGHT: Efficient and effective instance selection for time-series classification. In: Huang, J.Z., Cao, L., Srivastava, J. (eds.) PAKDD 2011, Part II. LNCS, vol. 6635, pp. 149-160. Springer, Heidelberg (2011)
8. Tomašev, N., Radovanović, M.,Mladenić, D., Ivanović, M.: The role of hubness in clustering high-dimensional data. IEEE Transactions on Knowledge and Data Engineering 99, 1 (2013) (PrePrints)
9. Tomašev, N., Mladenić, D.: Hubness-aware shared neighbor distances for high-dimensional k-nearest neighbor classification. Knowledge and Information Systems (2013)
10. Tomašev, N., Rupnik, J., Mladenić, D.: The role of hubs in cross-lingual supervised document retrieval. In: Pei, J., Tseng, V.S., Cao, L., Motoda, H., Xu, G. (eds.) PAKDD 2013, Part II. LNCS, vol. 7819, pp. 185-196. Springer, Heidelberg (2013)
11. Tomašev, N., Mladenić, D.: Nearest neighbor voting in high dimensional data: Learning from past occurrences. Computer Science and Information Systems 9, 691-712 (2012)
12. Tomašev, N., Leban, G., Mladenić, D.: Exploiting hubs for self-adaptive secondary reranking in bug report duplicate detection. In: Proceedings of the ITI Conference, ITI 2013 (2013)
13. Nguyen, G.P., Worring, M.: Similarity based visualization of image collections. In: Int'l Worksh. Audio-Visual Content and Information Visualization in Digital Libraries (2005)
14. Nguyen, G.P., Worring, M.: Interactive access to large image collections using similarity-based visualization. J. Vis. Lang. Comput. 19(2), 203-224 (2008)
15. Tomašev, N., Fortuna, B., Mladenić, D., Nedevschi, S.: Ontogen extension for exploring image collections. In: Proceedings of the 7th IEEE International Conference on Intelligent Computer Communication and Processing (ICCP) (2011)