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» Visual Feedback in Querying Large Databases
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SMC
2010
IEEE
198views Control Systems» more  SMC 2010»
13 years 5 months ago
Deep web data extraction
—Deep Web contents are accessed by queries submitted to Web databases and the returned data records are enwrapped in dynamically generated Web pages (they will be called deep Web...
Jer Lang Hong
PRL
2000
104views more  PRL 2000»
13 years 6 months ago
PicSOM - content-based image retrieval with self-organizing maps
We have developed a novel system for content-based image retrieval in large, unannotated databases. The system is called PicSOM, and it is based on tree structured self-organizing...
Jorma Laaksonen, Markus Koskela, Sami Laakso, Erkk...
ECCV
2010
Springer
13 years 7 months ago
Location Recognition Using Prioritized Feature Matching
We present a fast, simple location recognition and image localization method that leverages feature correspondence and geometry estimated from large Internet photo collections. Suc...
Yunpeng Li, Noah Snavely, Daniel P. Huttenlocher
BMCBI
2008
125views more  BMCBI 2008»
13 years 6 months ago
Exploration and visualization of gene expression with neuroanatomy in the adult mouse brain
Background: Spatially mapped large scale gene expression databases enable quantitative comparison of data measurements across genes, anatomy, and phenotype. In most ongoing effort...
Christopher Lau, Lydia Ng, Carol Thompson, Sayan D...
SIGMOD
1999
ACM
98views Database» more  SIGMOD 1999»
13 years 11 months ago
Self-tuning Histograms: Building Histograms Without Looking at Data
In this paper, we introduce self-tuning histograms. Although similar in structure to traditional histograms, these histograms infer data distributions not by examining the data or...
Ashraf Aboulnaga, Surajit Chaudhuri