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» An algorithmic approach to knowledge evolution
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IJCNN
2007
IEEE
16 years 25 days ago
Dynamic Pooling for the Combination of Forecasts generated using Multi Level Learning
— In this paper we provide experimental results and extensions to our previous theoretical findings concerning the combination of forecasts that have been diversified by three ...
Silvia Riedel, Bogdan Gabrys
IEAAIE
2009
Springer
16 years 1 months ago
Incremental Mining of Ontological Association Rules in Evolving Environments
The process of knowledge discovery from databases is a knowledge intensive, highly user-oriented practice, thus has recently heralded the development of ontology-incorporated data ...
Ming-Cheng Tseng, Wen-Yang Lin
VIS
2006
IEEE
117views Visualization» more  VIS 2006»
16 years 7 months ago
Transfer Function Fusing
Based on the observation that it is relatively easier for users to generate several good transfer functions (TFs) for different features of volumetric data, we propose TF fusing, ...
Yingcai Wu, Huamin Qu, Hong Zhou, Ming-Yuen Cha...
ICIP
2009
IEEE
16 years 7 months ago
Polar Snakes: A Fast And Robust Parametric Active Contour Model
We present in this paper a way to perform a fast and robust image segmentation and to track a contour along a sequence of images. Our approach is based on a dynamic deformable mod...
IPMI
2005
Springer
16 years 7 months ago
Topology Preserving Tissue Classification with Fast Marching and Topology Templates
Abstract. This paper presents a novel approach for object segmentation in medical images that respects the topological relationships of multiple structures as given by a template. ...
Pierre-Louis Bazin, Dzung L. Pham