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» Computational Probabilistic Non-interference
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ECCV
2008
Springer
16 years 6 months ago
Constrained Maximum Likelihood Learning of Bayesian Networks for Facial Action Recognition
Probabilistic graphical models such as Bayesian Networks have been increasingly applied to many computer vision problems. Accuracy of inferences in such models depends on the quali...
Cassio Polpo de Campos, Yan Tong, Qiang Ji
ECCV
2006
Springer
16 years 6 months ago
A Learning Based Approach for 3D Segmentation and Colon Detagging
Abstract. Foreground and background segmentation is a typical problem in computer vision and medical imaging. In this paper, we propose a new learning based approach for 3D segment...
Zhuowen Tu, Xiang Zhou, Dorin Comaniciu, Luca Bogo...
135
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ICPR
2000
IEEE
16 years 5 months ago
Feature Relevance Learning with Query Shifting for Content-Based Image Retrieval
Probabilistic feature relevance learning (PFRL) is an effective technique for adaptively computing local feature relevance for content-based image retrieval. It however becomes le...
Douglas R. Heisterkamp, Jing Peng, H. K. Dai
ICPPW
2009
IEEE
15 years 10 months ago
Decentralized Load Balancing for Improving Reliability in Heterogeneous Distributed Systems
Abstract—A probabilistic analytical framework for decentralized load balancing (LB) strategies for heterogeneous distributed-computing systems (DCSs) is presented with the overal...
Jorge E. Pezoa, Sagar Dhakal, Majeed M. Hayat
ICPR
2008
IEEE
15 years 10 months ago
Bayesian sequential face detection with automatic re-initialization
This paper proposes a probabilistic search algorithm to boost the computational efficiency of face detection in video sequences. The algorithm sequentially predicts the probabili...
Atsushi Matsui, Simon Clippingdale, Takashi Matsum...