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» A Bayesian Computational Cognitive Model
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CVPR
2003
IEEE
16 years 6 months ago
Object Class Recognition by Unsupervised Scale-Invariant Learning
We present a method to learn and recognize object class models from unlabeled and unsegmented cluttered scenes in a scale invariant manner. Objects are modeled as flexible constel...
Robert Fergus, Pietro Perona, Andrew Zisserman
GAMESEC
2010
119views Game Theory» more  GAMESEC 2010»
15 years 2 months ago
Uncertainty in Interdependent Security Games
Abstract. Even the most well-motivated models of information security have application limitations due to the inherent uncertainties involving risk. This paper exemplifies a formal...
Benjamin Johnson, Jens Grossklags, Nicolas Christi...
ICMCS
2008
IEEE
135views Multimedia» more  ICMCS 2008»
15 years 11 months ago
Pre-attentive discrimination of interestingness in images
Interestingness is an important aesthetic property, which literally means something that arouses curiosity and is a precursor to attention. Aesthetics is becoming more important a...
Harish Katti, Kwok Yang Bin, Tat-Seng Chua, Mohan ...
CHI
2005
ACM
16 years 4 months ago
Distract-R: rapid prototyping and evaluation of in-vehicle interfaces
As driver distraction from in-vehicle devices increasingly becomes a concern on our roadways, researchers have searched for better scientific understanding of distraction along wi...
Dario D. Salvucci, Mark Zuber, Ekaterina Beregovai...
CVPR
2007
IEEE
16 years 6 months ago
Compositional Boosting for Computing Hierarchical Image Structures
In this paper, we present a compositional boosting algorithm for detecting and recognizing 17 common image structures in low-middle level vision tasks. These structures, called &q...
Tianfu Wu, Gui-Song Xia, Song Chun Zhu