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» Learning Belief Networks from Data: An Information Theory Ba...
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IDT
2008
123views more  IDT 2008»
13 years 7 months ago
A rich semantic model of track as a foundation for sharing beliefs regarding dynamic objects and events
: Many defense, homeland security, and commercial security objectives require continuous tracking of mobile entities such as aircraft. The systems that perform these functions prod...
Frederick Hayes-Roth, Curtis L. Blais
LOCA
2009
Springer
14 years 3 days ago
Activity Recognition from Sparsely Labeled Data Using Multi-Instance Learning
Abstract. Activity recognition has attracted increasing attention in recent years due to its potential to enable a number of compelling contextaware applications. As most approache...
Maja Stikic, Bernt Schiele
SIGCPR
1999
ACM
177views Hardware» more  SIGCPR 1999»
13 years 12 months ago
Interrogative theory of information and knowledge
This report offers an interrogative-based approach to differentiating and quantifying information and knowledge within text. We examine the work of Popper, Shannon, Weaver, Brooke...
Edward J. Quigley, Anthony Debons
CVPR
2009
IEEE
14 years 2 months ago
Automatic fetal face detection from ultrasound volumes via learning 3D and 2D information
3D ultrasound imaging has been increasingly used in clinics for fetal examination. However, manually searching for the optimal view of the fetal face in 3D ultrasound volumes is c...
Shaolei Feng, Shaohua Kevin Zhou, Sara Good, Dorin...
3DIM
2007
IEEE
14 years 1 months ago
Generalized MPU Implicits Using Belief Propagation
In this paper, we present a new algorithm to reconstruct 3D surfaces from an unorganized point cloud based on generalizing the MPU implicit algorithm through introducing a powerfu...
Yi-Ling Chen, Shang-Hong Lai, Tung-Ying Lee