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ICPR
2008
IEEE
14 years 2 months ago
Improving Bayesian Network parameter learning using constraints
This paper describes a new approach to unify constraints on parameters with training data to perform parameter estimation in Bayesian networks of known structure. The method is ge...
Cassio Polpo de Campos, Qiang Ji
ICCV
2009
IEEE
15 years 22 days ago
Modelling Activity Global Temporal Dependencies using Time Delayed Probabilistic Graphical Model
We present a novel approach for detecting global behaviour anomalies in multiple disjoint cameras by learning time delayed dependencies between activities cross camera views. Sp...
Chen Change Loy, Tao Xiang and Shaogang Gong
IPPS
2006
IEEE
14 years 1 months ago
High-performance computing in remotely sensed hyperspectral imaging: the Pixel Purity Index algorithm as a case study
The incorporation of last-generation sensors to airborne and satellite platforms is currently producing a nearly continual stream of high-dimensional data, and this explosion in t...
Antonio Plaza, David Valencia, Javier Plaza
ICDM
2007
IEEE
166views Data Mining» more  ICDM 2007»
14 years 2 months ago
A Divisive Hierarchical Structural Clustering Algorithm for Networks
Many systems in sciences, engineering and nature can be modeled as networks. Examples are internet, metabolic networks and social networks. Network clustering algorithms aimed to ...
Nurcan Yuruk, Mutlu Mete, Xiaowei Xu, Thomas A. J....
INFOCOM
2010
IEEE
13 years 6 months ago
Cognitive Mobile Virtual Network Operator: Investment and Pricing with Supply Uncertainty
Abstract—This paper presents the first analytical study of optimal investment and pricing decisions of a cognitive mobile virtual network operator (C-MVNO) under spectrum supply...
Lingjie Duan, Jianwei Huang, Biying Shou