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» Modeling Problem Transformations based on Data Complexity
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CEC
2010
IEEE
15 years 7 months ago
A parallel framework for multi-objective evolutionary optimization
This work focuses on the development of a parallel framework method to improve the effectiveness and the efficiency of the obtained solutions by Multi-objective Evolutionary Algori...
Dipankar Dasgupta, David Camilo Becerra Romero, Al...
186
Voted
ICMCS
2007
IEEE
124views Multimedia» more  ICMCS 2007»
16 years 22 days ago
Robust Video Object Segmentation Based on K-Means Background Clustering and Watershed in Ill-Conditioned Surveillance Systems
A robust video object segmentation algorithm for complex conditions in surveillance systems is proposed in this paper. This algorithm contains an unsupervised K-Means background c...
Tse-Wei Chen, Shou-Chieh Hsu, Shao-Yi Chien
TIP
2011
195views more  TIP 2011»
15 years 1 months ago
Accelerating X-Ray Data Collection Using Pyramid Beam Ray Casting Geometries
Abstract—Image reconstruction from its projections is a necessity in many applications such as medical (CT), security, inspection, and others. This paper extends the 2-D Fan-beam...
Amir Averbuch, Guy Lifschitz, Yoel Shkolnisky
CIKM
1997
Springer
15 years 10 months ago
Learning Belief Networks from Data: An Information Theory Based Approach
This paper presents an efficient algorithm for learning Bayesian belief networks from databases. The algorithm takes a database as input and constructs the belief network structur...
Jie Cheng, David A. Bell, Weiru Liu
AIEDU
2007
85views more  AIEDU 2007»
15 years 6 months ago
Opening up the Interpretation Process in an Open Learner Model
Opening a model of the learner is a potentially complex operation. There are many aspects of the learner that can be modelled, and many of these aspects may need to be opened in di...
Nicolas van Labeke, Paul Brna, Rafael Morales