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» Efficient Object Querying for Java
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ICML
2005
IEEE
15 years 10 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
JSS
2006
134views more  JSS 2006»
14 years 10 months ago
On past-time indexing of moving objects
Tracking of mobile objects trajectories is one of many modern applications supported by Spatiotemporal databases. Within the context of this application, queries about the present...
Katerina Raptopoulou, Michael Vassilakopoulos, Yan...
DEXA
2010
Springer
172views Database» more  DEXA 2010»
14 years 10 months ago
Ranking Objects Based on Attribute Value Correlation
There has been a great deal of interest in recent years on ranking query results in relational databases. This paper presents a novel method to rank objects (e.g., tuples) by explo...
Jaehui Park, Sang-goo Lee
DEXA
2004
Springer
140views Database» more  DEXA 2004»
15 years 3 months ago
Declustering of Trajectories for Indexing of Moving Objects Databases
Efficient storage and retrieval of trajectory indexes has become an essential requirement for moving objects databases. The existing 3DR-tree is known to be an effective trajectory...
Youngduk Seo, Bonghee Hong
ICDE
2005
IEEE
107views Database» more  ICDE 2005»
15 years 11 months ago
Venn Sampling: A Novel Prediction Technique for Moving Objects
Given a region qR and a future timestamp qT, a "range aggregate" query estimates the number of objects expected to appear in qR at time qT. Currently the only methods fo...
Yufei Tao, Dimitris Papadias, Jian Zhai, Qing Li