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ICIP
2010
IEEE
14 years 7 months ago
Network of evolutionary binary classifiers for classification and retrieval in macroinvertebrate databases
In this paper, we focus on advanced classification and data retrieval schemes that are instrumental when processing large taxonomical image datasets. With large number of classes,...
Serkan Kiranyaz, Moncef Gabbouj, Jenni Pulkkinen, ...
KDD
2009
ACM
162views Data Mining» more  KDD 2009»
15 years 10 months ago
Augmenting the generalized hough transform to enable the mining of petroglyphs
Rock art is an archaeological term for human-made markings on stone. It is believed that there are millions of petroglyphs in North America alone, and the study of this valued cul...
Eamonn J. Keogh, Qiang Zhu 0002, Sang-Hee Lee, Xia...
KDD
2001
ACM
203views Data Mining» more  KDD 2001»
15 years 9 months ago
Ensemble-index: a new approach to indexing large databases
The problem of similarity search (query-by-content) has attracted much research interest. It is a difficult problem because of the inherently high dimensionality of the data. The ...
Eamonn J. Keogh, Selina Chu, Michael J. Pazzani
MM
2004
ACM
248views Multimedia» more  MM 2004»
15 years 2 months ago
Incremental semi-supervised subspace learning for image retrieval
Subspace learning techniques are widespread in pattern recognition research. They include Principal Component Analysis (PCA), Locality Preserving Projection (LPP), etc. These tech...
Xiaofei He
VLDB
1998
ACM
312views Database» more  VLDB 1998»
15 years 1 months ago
WaveCluster: A Multi-Resolution Clustering Approach for Very Large Spatial Databases
Many applications require the management of spatial data. Clustering large spatial databases is an important problem which tries to find the densely populated regions in the featu...
Gholamhosein Sheikholeslami, Surojit Chatterjee, A...