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ECCV
2000
Springer
16 years 7 months ago
Learning Over Multiple Temporal Scales in Image Databases
Abstract. The ability to learn from user interaction is an important asset for content-based image retrieval (CBIR) systems. Over short times scales, it enables the integration of ...
Nuno Vasconcelos, Andrew Lippman
KDD
2006
ACM
142views Data Mining» more  KDD 2006»
16 years 5 months ago
Mining distance-based outliers from large databases in any metric space
Let R be a set of objects. An object o R is an outlier, if there exist less than k objects in R whose distances to o are at most r. The values of k, r, and the distance metric ar...
Yufei Tao, Xiaokui Xiao, Shuigeng Zhou
APWEB
2005
Springer
15 years 10 months ago
Mining Quantitative Associations in Large Database
Association Rule Mining algorithms operate on a data matrix to derive association rule, discarding the quantities of the items, which contains valuable information. In order to mak...
Chenyong Hu, Yongji Wang, Benyu Zhang, Qiang Yang,...
MIR
2004
ACM
242views Multimedia» more  MIR 2004»
15 years 10 months ago
Content based access for a massive database of human observation video
We present in this paper a CBIR system for use in a psychological study of the relationship between human movement and Dyslexia. The system allows access to up to 500 hours of vid...
Laurent Joyeux, Erika Doyle, Hugh Denman, Andrew C...
APWEB
2004
Springer
15 years 10 months ago
Using Relational Database Constraints to Design Materialized Views in Data Warehouses
Queries to data warehouses often involve hundreds of complex aggregations over large volumes of data, and so it is infeasible to compute these queries by scanning the data sources ...
Taehee Lee, Jae-young Chang, Sang-goo Lee