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ICDE
2007
IEEE
137views Database» more  ICDE 2007»
16 years 1 months ago
ProVeR: Probabilistic Video Retrieval using the Gauss-Tree
Modeling objects by probability density functions (pdf) is a new powerful method to represent complex objects in databases. By representing an object as a pdf, e.g. a Gaussian, it...
Alexey Pryakhin, Christian Böhm, Matthias Sch...
IGARSS
2010
14 years 9 months ago
Geospatiotemporal data mining in an early warning system for forest threats in the United States
We investigate the potential of geospatiotemporal data mining of multi-year land surface phenology data (250 m Normalized Difference Vegetation Index (NDVI) values derived from th...
Forrest M. Hoffman, Richard Tran Mills, Jitendra K...
SIGMOD
2009
ACM
180views Database» more  SIGMOD 2009»
16 years 1 days ago
Indexing correlated probabilistic databases
With large amounts of correlated probabilistic data being generated in a wide range of application domains including sensor networks, information extraction, event detection etc.,...
Bhargav Kanagal, Amol Deshpande
RIDE
2002
IEEE
15 years 4 months ago
Enhancive Index for Structured Document
Structured documents, especially the XML documents, are made up of a few logical components, such as title, sections, subsections and paragraphs. The components in each structured...
Xiaoling Wang, Ji-Rong Wen, Yisheng Dong, Wenyin L...
CPM
1999
Springer
127views Combinatorics» more  CPM 1999»
15 years 4 months ago
A New Indexing Method for Approximate String Matching
We present a new indexing method for the approximate string matching problem. The method is based on a su x tree combined with a partitioning of the pattern. We analyze the resulti...
Gonzalo Navarro, Ricardo A. Baeza-Yates