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» Finding Sequential Patterns from Large Sequence Data
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GIS
2008
ACM
15 years 10 months ago
Mining user similarity based on location history
The pervasiveness of location-acquisition technologies (GPS, GSM networks, etc.) enable people to conveniently log the location histories they visited with spatio-temporal data. T...
Quannan Li, Yu Zheng, Xing Xie, Yukun Chen, Wenyu ...
PR
2008
144views more  PR 2008»
14 years 9 months ago
Gesture spotting for low-resolution sports video annotation
Human gesture recognition plays an important role in automating the analysis of video material at a high level. Especially in sports videos, the determination of the player's...
Myung-Cheol Roh, William J. Christmas, Josef Kittl...
BMCBI
2004
208views more  BMCBI 2004»
14 years 9 months ago
Using 3D Hidden Markov Models that explicitly represent spatial coordinates to model and compare protein structures
Background: Hidden Markov Models (HMMs) have proven very useful in computational biology for such applications as sequence pattern matching, gene-finding, and structure prediction...
Vadim Alexandrov, Mark Gerstein
PODS
2007
ACM
109views Database» more  PODS 2007»
15 years 9 months ago
What is "next" in event processing?
Event processing systems have wide applications ranging from managing events from RFID readers to monitoring RSS feeds. Consequently, there exists much work on them in the literat...
Walker M. White, Mirek Riedewald, Johannes Gehrke,...
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ICIP
2005
IEEE
15 years 11 months ago
Visual tracking via efficient kernel discriminant subspace learning
Robustly tracking moving objects in video sequences is one of the key problems in computer vision. In this paper we introduce a computationally efficient nonlinear kernel learning...
Chunhua Shen, Anton van den Hengel, Michael J. Bro...