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» A computational model of belief
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ICASSP
2011
IEEE
14 years 1 months ago
Deep belief nets for natural language call-routing
This paper considers application of Deep Belief Nets (DBNs) to natural language call routing. DBNs have been successfully applied to a number of tasks, including image, audio and ...
Ruhi Sarikaya, Geoffrey E. Hinton, Bhuvana Ramabha...
CVPR
2004
IEEE
15 years 11 months ago
Visual Odometry and Map Correlation
In this paper, we study how estimates of ego-motion based on feature tracking (visual odometry) can be improved using a rough (low accuracy) map of where the observer has been. We...
Anat Levin, Richard Szeliski
ICML
2009
IEEE
15 years 10 months ago
Convolutional deep belief networks for scalable unsupervised learning of hierarchical representations
There has been much interest in unsupervised learning of hierarchical generative models such as deep belief networks. Scaling such models to full-sized, high-dimensional images re...
Honglak Lee, Roger Grosse, Rajesh Ranganath, Andre...
CVPR
2007
IEEE
15 years 11 months ago
Tracking as Repeated Figure/Ground Segmentation
Tracking over a long period of time is challenging as the appearance, shape and scale of the object in question may vary. We propose a paradigm of tracking by repeatedly segmentin...
Xiaofeng Ren, Jitendra Malik
MM
2009
ACM
168views Multimedia» more  MM 2009»
15 years 2 months ago
Identifying news videos' ideological perspectives using emphatic patterns of visual concepts
Television news has become the predominant way of understanding the world around us, but individual news broadcasters can frame or mislead an audience’s understanding of politic...
Wei-Hao Lin, Alexander G. Hauptmann