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» Answering Queries using Humans, Algorithms and Databases
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ICIP
1998
IEEE
16 years 4 months ago
Invariant-based Data Model for Image Databases
We describe a new invariant-based data model for image databases under our approach for shape-based retrieval. The data model relies on contours description of the image shape, an...
Michael Kliot, Ehud Rivlin
101
Voted
EDBT
2008
ACM
99views Database» more  EDBT 2008»
16 years 3 months ago
Querying time-series streams
Index trees created using distance based indexing are difficult to maintain online since the distance function involved is often costly to compute. This problem is intensified whe...
Vivekanand Gopalkrishnan
BMCBI
2008
130views more  BMCBI 2008»
15 years 3 months ago
A database of phylogenetically atypical genes in archaeal and bacterial genomes, identified using the DarkHorse algorithm
Background: The process of horizontal gene transfer (HGT) is believed to be widespread in Bacteria and Archaea, but little comparative data is available addressing its occurrence ...
Sheila Podell, Terry Gaasterland, Eric E. Allen
154
Voted
SIGMOD
1999
ACM
143views Database» more  SIGMOD 1999»
15 years 7 months ago
WALRUS: A Similarity Retrieval Algorithm for Image Databases
Traditional approaches for content-based image querying typically compute a single signature for each image based on color histograms, texture, wavelet transforms etc., and return...
Apostol Natsev, Rajeev Rastogi, Kyuseok Shim
VLDB
2000
ACM
121views Database» more  VLDB 2000»
15 years 6 months ago
Optimizing Multi-Feature Queries for Image Databases
In digital libraries image retrieval queries can be based on the similarity of objects, using several feature attributes like shape, texture, color or text. Such multi-feature que...
Ulrich Güntzer, Wolf-Tilo Balke, Werner Kie&s...