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NIPS
2008
15 years 8 months ago
Bayesian Exponential Family PCA
Principal Components Analysis (PCA) has become established as one of the key tools for dimensionality reduction when dealing with real valued data. Approaches such as exponential ...
Shakir Mohamed, Katherine A. Heller, Zoubin Ghahra...
IVC
2002
185views more  IVC 2002»
15 years 6 months ago
Path detection in video surveillance
This paper addresses the problem of automatically extracting frequently used pedestrian pathways from video sequences of natural outdoor scenes. Path models are learnt from the ac...
Dimitrios Makris, Tim Ellis
JMLR
2010
144views more  JMLR 2010»
15 years 1 months ago
Practical Approaches to Principal Component Analysis in the Presence of Missing Values
Principal component analysis (PCA) is a classical data analysis technique that finds linear transformations of data that retain the maximal amount of variance. We study a case whe...
Alexander Ilin, Tapani Raiko
ICRA
2009
IEEE
171views Robotics» more  ICRA 2009»
16 years 1 months ago
Consistent cooperative localization
— In cooperative navigation, teams of mobile robots obtain range and/or angle measurements to each other and dead-reckoning information to help each other navigate more accuratel...
Alexander Bahr, Matthew R. Walter, John J. Leonard
176
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ICNP
2000
IEEE
15 years 11 months ago
A Scalable Monitoring Approach for Service Level Agreements Validation
In order to detect violations of end-to-end service level agreements (SLA) and to isolate trouble links and nodes based on a unified framework, managers of a service provider net...
Mun Choon Chan, Yow-Jian Lin, Xin Wang