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» Learning By Observation Using Qualitative Spatial Relations
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114
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JIRS
2007
120views more  JIRS 2007»
15 years 2 months ago
Optimal Camera Placement for Automated Surveillance Tasks
— Today, there are many opportunities to create vision-based intelligent systems that are human-centric. This is a very rich area because humans are very complex, and the number ...
Robert Bodor, Andrew Drenner, Paul R. Schrater, Ni...
112
Voted
ECCV
2010
Springer
15 years 8 months ago
Stacked Hierarchical Labeling
In this work we propose a hierarchical approach for labeling semantic objects and regions in scenes. Our approach is reminiscent of early vision literature in that we use a decompo...
125
Voted
NIPS
1998
15 years 4 months ago
Modeling Surround Suppression in V1 Neurons with a Statistically Derived Normalization Model
We examine the statistics of natural monochromatic images decomposed using a multi-scale wavelet basis. Although the coefficients of this representation are nearly decorrelated, t...
Eero P. Simoncelli, Odelia Schwartz
155
Voted
BMCBI
2008
214views more  BMCBI 2008»
15 years 1 months ago
Enhanced Bayesian modelling in BAPS software for learning genetic structures of populations
Background: During the most recent decade many Bayesian statistical models and software for answering questions related to the genetic structure underlying population samples have...
Jukka Corander, Pekka Marttinen, Jukka Siré...
147
Voted
CSCW
2011
ACM
14 years 9 months ago
Peer interaction effectively, yet infrequently, enables programmers to discover new tools
Computer users rely on software tools to work effectively and efficiently, but it is difficult for users to be aware of all the tools that might be useful to them. While there a...
Emerson R. Murphy-Hill, Gail C. Murphy