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» Learning a Restricted Bayesian Network for Object Detection
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UAI
2003
13 years 9 months ago
Large-Sample Learning of Bayesian Networks is NP-Hard
In this paper, we provide new complexity results for algorithms that learn discrete-variable Bayesian networks from data. Our results apply whenever the learning algorithm uses a ...
David Maxwell Chickering, Christopher Meek, David ...
CVIU
2007
193views more  CVIU 2007»
13 years 7 months ago
Interpretation of complex scenes using dynamic tree-structure Bayesian networks
This paper addresses the problem of object detection and recognition in complex scenes, where objects are partially occluded. The approach presented herein is based on the hypothe...
Sinisa Todorovic, Michael C. Nechyba
AGI
2011
12 years 11 months ago
Towards a General Vision System Based on Symbol-Relation Grammars and Bayesian Networks
Abstract. A novel approach to create a general vision system is presented. The proposed method is based on a visual grammar representation which is transformed to a Bayesian networ...
Elias Ruiz, Augusto Meléndez, Luis Enrique ...
IJCAI
2007
13 years 9 months ago
Automated Heart Wall Motion Abnormality Detection from Ultrasound Images Using Bayesian Networks
Coronary Heart Disease can be diagnosed by measuring and scoring regional motion of the heart wall in ultrasound images of the left ventricle (LV) of the heart. We describe a comp...
Maleeha Qazi, Glenn Fung, Sriram Krishnan, R&oacut...
DSP
2007
13 years 7 months ago
Blind separation of nonlinear mixtures by variational Bayesian learning
Blind separation of sources from nonlinear mixtures is a challenging and often ill-posed problem. We present three methods for solving this problem: an improved nonlinear factor a...
Antti Honkela, Harri Valpola, Alexander Ilin, Juha...