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» Active learning in very large databases
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CVPR
2008
IEEE
16 years 1 months ago
Fast image search for learned metrics
We introduce a method that enables scalable image search for learned metrics. Given pairwise similarity and dissimilarity constraints between some images, we learn a Mahalanobis d...
Prateek Jain, Brian Kulis, Kristen Grauman
PAMI
2008
140views more  PAMI 2008»
14 years 11 months ago
Simplifying Mixture Models Using the Unscented Transform
Mixture of Gaussians (MoG) model is a useful tool in statistical learning. In many learning processes that are based on mixture models, computational requirements are very demandin...
Jacob Goldberger, Hayit Greenspan, Jeremie Dreyfus...
ITICSE
2004
ACM
15 years 5 months ago
SQLator: an online SQL learning workbench
SQL (Structured Query Language) is one of the essential topics in foundation databases courses in higher education. Due to its apparent simple syntax, learning to use the full pow...
Shazia Wasim Sadiq, Maria E. Orlowska, Wasim Sadiq...
ICIP
2003
IEEE
16 years 1 months ago
Kernel indexing for relevance feedback image retrieval
Relevance feedback is an attractive approach to developing flexible metrics for content-based retrieval in image and video databases. Large image databases require an index struct...
Jing Peng, Douglas R. Heisterkamp
DSMML
2004
Springer
15 years 5 months ago
Redundant Bit Vectors for Quickly Searching High-Dimensional Regions
Applications such as audio fingerprinting require search in high dimensions: find an item in a database that is similar to a query. An important property of this search task is t...
Jonathan Goldstein, John C. Platt, Christopher J. ...