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» Representation of Graphs by OBDDs
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CVPR
2011
IEEE
15 years 2 months ago
Nonparametric Density Estimation on A Graph: Learning Framework, Fast Approximation and Application in Image Segmentation
We present a novel framework for tree-structure embedded density estimation and its fast approximation for mode seeking. The proposed method could find diverse applications in co...
Zhiding Yu, Oscar Au, Ketan Tang
AUSAI
2008
Springer
15 years 8 months ago
Learning a Generative Model for Structural Representations
Abstract. Graph-based representations have been used with considercess in computer vision in the abstraction and recognition of object shape and scene structure. Despite this, the ...
Andrea Torsello, David L. Dowe
AE
2007
Springer
16 years 11 days ago
Direct and Indirect Representations for Evolutionary Design of Objects
Abstract. We follow up on the work of Ebner[1] in studying representations for evolutionary design of objects. We adopt both the method and the simulation framework, and perform mo...
Juraj Plavcan, Pavel Petrovic
AICOM
2006
124views more  AICOM 2006»
15 years 6 months ago
A Compact Representation for Least Common Subsumers in the description logic ALE
This paper introduces a compact representation which helps to avoid the exponential blow-up in space of the Least Common Subsumer (lcs) of two ALEconcept descriptions. Based on th...
Chan Le Duc, Nhan Le Thanh, Marie-Christine Rousse...
ICML
2004
IEEE
16 years 7 months ago
Kernel conditional random fields: representation and clique selection
Kernel conditional random fields (KCRFs) are introduced as a framework for discriminative modeling of graph-structured data. A representer theorem for conditional graphical models...
John D. Lafferty, Xiaojin Zhu, Yan Liu