Towards automatic feature vector optimization for multimedia applications

Proceedings of the ACM Symposium on Applied Computing

Volumn , Issue , 2008, Pages 1197-1201

  Schreck, Tobias ^a   Fellner, Dieter ^a   Keim, Daniel ^b  

^a DARMSTADT UNIVERSITY OF TECHNOLOGY   (Germany)

^b UNIVERSITY OF KONSTANZ   (Germany)

Author keywords

Discrimination power; Feature selection; Feature vectors; Self organizing map

Indexed keywords

BENCHMARKING; CONFORMAL MAPPING; DATABASE SYSTEMS; FEATURE EXTRACTION; HUMAN COMPUTER INTERACTION; IMAGE RETRIEVAL; LAW ENFORCEMENT; MATHEMATICAL MODELS; OPTIMIZATION;

AUTOMATIC ANALYSIS; DISCRIMINATION POWER; FEATURE SELECTION; FEATURE SPACES; FEATURE VECTORS; MULTIMEDIA APPLICATIONS; REAL WORLDS; SELF-ORGANIZING MAP; SYNTHETIC BENCHMARKS; UNSUPERVISED FEATURE SELECTIONS;

VECTORS;

EID: 56749150024     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1363686.1363964     Document Type: Conference Paper

References (11)

1. C. Aggarwal. On the effects of dimensionality reduction on high dimensional similarity search. In Proc. ACM Symposium on Principles of Database Systems, 2001.
2. R. Baeza-Yates and B. Ribeiro-Neto. Modern Information Retrieval. Addison-Wesley, 1999.
3. B. Bustos, D. Keim, D. Saupe, T. Schreck, and D. Vranić. Feature-based similarity search in 3D object databases. ACM Computing Surveys, 37:345-387, 2005.
4. B. Bustos, D. Keim, D. Saupe, T. Schreck, and D. Vranic. An experimental effectiveness comparison of methods for 3D similarity search. Int. Journal on Digital Libraries, 6(1):39-54, 2006.
5. R. Duda, P. Hart, and D. Stork. Pattern Classification. Wiley-Interscience, New York, 2nd edition, 2001.
6. A. Hinneburg, C. Aggarwal, and D. Keim. What is the nearest neighbor in high dimensional spaces? In Proc. Int. Conf. on Very Large Data Bases, 2000.
7. T. Kohonen. Self-Organizing Maps. Springer, Berlin, 3rd edition, 2001.
8. H. Müller, S. Marchand-Maillet, and T. Pun. The truth about corel - evaluation in image retrieval. In Proc. Int. Conf. on Image and Video Retrieval, 2002.
9. T. Schreck, D. Keim, and C. Panse. Visual feature space analysis for unsupervised effectiveness estimation and feature engineering. In Proc. IEEE Int. Conf. on Multimedia and Expo, 2006.
10. P. Shilane, P. Min, M. Kazhdan, and T. Funkhouser. The princeton shape benchmark. In Proc. IEEE Int. Conf. on Shape Modeling and Applications, 2004.
11. J. Vesanto. SOM-based data visualization methods. Intelligent Data Analysis, 3(2):111-126, 1999.