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» Being Sensitive to Uncertainty
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IROS
2007
IEEE
127views Robotics» more  IROS 2007»
14 years 2 months ago
Goal directed navigation with uncertainty in adversary locations
— This paper addresses the problem of planning for goal directed navigation in the environment that contains a number of possible adversary locations. It first shows that common...
Maxim Likhachev, Anthony Stentz
PET
2010
Springer
13 years 12 months ago
Privacy-Preserving Queries over Relational Databases
We explore how Private Information Retrieval (PIR) can help users keep their sensitive information from being leaked in an SQL query. We show how to retrieve data from a relational...
Femi G. Olumofin, Ian Goldberg
BMCBI
2006
134views more  BMCBI 2006»
13 years 8 months ago
An approach for clustering gene expression data with error information
Background: Clustering of gene expression patterns is a well-studied technique for elucidating trends across large numbers of transcripts and for identifying likely co-regulated g...
Brian Tjaden
ICCAD
2008
IEEE
129views Hardware» more  ICCAD 2008»
14 years 4 months ago
A capacitance solver for incremental variation-aware extraction
Abstract—Lithographic limitations and manufacturing uncertainties are resulting in fabricated shapes on wafer that are topologically equivalent, but geometrically different from ...
Tarek A. El-Moselhy, Ibrahim M. Elfadel, Luca Dani...
NIPS
2004
13 years 9 months ago
Maximising Sensitivity in a Spiking Network
We use unsupervised probabilistic machine learning ideas to try to explain the kinds of learning observed in real neurons, the goal being to connect abstract principles of self-or...
Anthony J. Bell, Lucas C. Parra