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» Efficient Learning of Semi-structured Data from Queries
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ICML
2005
IEEE
14 years 8 months ago
Active learning for Hidden Markov Models: objective functions and algorithms
Hidden Markov Models (HMMs) model sequential data in many fields such as text/speech processing and biosignal analysis. Active learning algorithms learn faster and/or better by cl...
Brigham Anderson, Andrew Moore
DICTA
2003
13 years 8 months ago
Learning Semantic Concepts from Visual Data Using Neural Networks
For content-based image retrieval techniques, query image is used to pick up and rank some relevant images from a database using some certain similarity metric. If semantic feature...
Xiaohang Ma, Dianhui Wang
KES
2005
Springer
14 years 27 days ago
Using Relevance Feedback to Learn Both the Distance Measure and the Query in Multimedia Databases
Much of the world’s data is in the form of time series, and many other types of data, such as video, image, and handwriting, can easily be transformed into time series. This fact...
Chotirat (Ann) Ratanamahatana, Eamonn J. Keogh
IJWIS
2008
110views more  IJWIS 2008»
13 years 7 months ago
Determined: a system with novel techniques for XML query optimization and evaluation
: Purpose -- Efficient processing of XML queries is critical for XML data management and related applications. Previously proposed techniques are unsatisfactory. This article prese...
Dunren Che, Wen-Chi Hou
SIGMOD
2006
ACM
162views Database» more  SIGMOD 2006»
14 years 7 months ago
Efficient query processing in geographic web search engines
Geographic web search engines allow users to constrain and order search results in an intuitive manner by focusing a query on a particular geographic region. Geographic search tec...
Yen-Yu Chen, Torsten Suel, Alexander Markowetz