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IJCV
2007
196views more  IJCV 2007»
14 years 9 months ago
Weakly Supervised Scale-Invariant Learning of Models for Visual Recognition
We investigate a method for learning object categories in a weakly supervised manner. Given a set of images known to contain the target category from a similar viewpoint, learning...
Robert Fergus, Pietro Perona, Andrew Zisserman
IJCV
2007
134views more  IJCV 2007»
14 years 9 months ago
Multi-sensory and Multi-modal Fusion for Sentient Computing
This paper presents an approach to multi-sensory and multi-modal fusion in which computer vision information obtained from calibrated cameras is integrated with a large-scale sent...
Christopher Town
TIP
2008
142views more  TIP 2008»
14 years 9 months ago
Image Feature Localization by Multiple Hypothesis Testing of Gabor Features
Several novel and particularly successful object and object category detection and recognition methods based on image features, local descriptions of object appearance, have recent...
Jarmo Ilonen, Joni-Kristian Kamarainen, Pekka Paal...
CN
2004
108views more  CN 2004»
14 years 9 months ago
Smart dust, friend or foe?--Replacing identity with configuration trust
Smart dust motes are miniature self-contained systems that may be deployed in very large numbers. In military applications these devices are subject to different threats than conv...
Howard Chivers, John A. Clark
DEBU
1998
115views more  DEBU 1998»
14 years 9 months ago
The Case for Non-transparent Replication: Examples from Bayou
Applications that rely on replicated data have different requirements for how their data is managed. For example, some applications may require that updates propagate amongst repl...
Douglas B. Terry, Karin Petersen, Mike Spreitzer, ...