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» A Large Dataset of Object Scans
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KDD
2002
ACM
138views Data Mining» more  KDD 2002»
14 years 9 months ago
Learning to match and cluster large high-dimensional data sets for data integration
Part of the process of data integration is determining which sets of identifiers refer to the same real-world entities. In integrating databases found on the Web or obtained by us...
William W. Cohen, Jacob Richman
SSD
2007
Springer
131views Database» more  SSD 2007»
14 years 2 months ago
Efficiently Mining Regional Outliers in Spatial Data
With the increasing availability of spatial data in many applications, spatial clustering and outlier detection has received a lot of attention in the database and data mining comm...
Richard Frank, Wen Jin, Martin Ester
ICCV
2009
IEEE
15 years 1 months ago
Detecting Objects in Large Image Collections and Videos by Efficient Subimage Retrieval
We study the task of detecting the occurrence of objects in large image collections or in videos, a problem that combines aspects of content based image retrieval and object locali...
Christoph H. Lampert
CCGRID
2005
IEEE
14 years 2 months ago
Servicing range queries on multidimensional datasets with partial replicas
Partial replication is one type of optimization to speed up execution of queries submitted to large datasets. In partial replication, a portion of the dataset is extracted, re-org...
Li Weng, Ümit V. Çatalyürek, Tahs...
PKDD
2005
Springer
94views Data Mining» more  PKDD 2005»
14 years 2 months ago
Visual Terrain Analysis of High-Dimensional Datasets
Abstract. Most real-world datasets are, to a certain degree, skewed. When considered that they are also large, they become the pinnacle challenge in data analysis. More importantly...
Wenyuan Li, Kok-Leong Ong, Wee Keong Ng