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» An algorithmic approach to knowledge evolution
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FUIN
2007
123views more  FUIN 2007»
15 years 6 months ago
Analysis of Approximate Petri Nets by Means of Occurrence Graphs
Abstract. Approximate Petri nets (AP-nets) can be used for the knowledge representation and approximate reasoning. The AP-net model is defined on the basis of the rough set approa...
Zbigniew Suraj, Barbara Fryc
BMVC
2010
15 years 4 months ago
TV-Based Multi-Label Image Segmentation with Label Cost Prior
This paper studies image segmentation based on the minimum description length (MDL) functional combining spatial regularization with a penality for the number of distinct segments...
Jing Yuan, Yuri Boykov
ACCV
2010
Springer
15 years 1 months ago
Saliency Density Maximization for Object Detection and Localization
Accurate localization of the salient object from an image is a difficult problem when the saliency map is noisy and incomplete. A fast approach to detect salient objects from image...
Ye Luo, Junsong Yuan, Ping Xue, Qi Tian
IANDC
2008
92views more  IANDC 2008»
15 years 6 months ago
Tree exploration with advice
We study the amount of knowledge about the network that is required in order to efficiently solve a task concerning this network. The impact of available information on the effici...
Pierre Fraigniaud, David Ilcinkas, Andrzej Pelc
CIKM
2010
Springer
15 years 4 months ago
Regularization and feature selection for networked features
In the standard formalization of supervised learning problems, a datum is represented as a vector of features without prior knowledge about relationships among features. However, ...
Hongliang Fei, Brian Quanz, Jun Huan