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» Static community detection algorithms for evolving networks
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PPSN
2010
Springer
13 years 7 months ago
Indirect Encoding of Neural Networks for Scalable Go
Abstract. The game of Go has attracted much attention from the artificial intelligence community. A key feature of Go is that humans begin to learn on a small board, and then incr...
Jason Gauci, Kenneth O. Stanley
CORR
2011
Springer
182views Education» more  CORR 2011»
13 years 3 months ago
Cyber-Physical Attacks in Power Networks: Models, Fundamental Limitations and Monitor Design
— Future power networks will be characterized by safe and reliable functionality against physical malfunctions and cyber attacks. This paper proposes a unified framework and adv...
Fabio Pasqualetti, Florian Dörfler, Francesco...
IJCV
2012
11 years 11 months ago
Sparse Occlusion Detection with Optical Flow
Abstract We tackle the problem of detecting occluded regions in a video stream. Under assumptions of Lambertian reflection and static illumination, the task can be posed as a vari...
Alper Ayvaci, Michalis Raptis, Stefano Soatto
KDD
2005
ACM
140views Data Mining» more  KDD 2005»
14 years 9 months ago
Graphs over time: densification laws, shrinking diameters and possible explanations
How do real graphs evolve over time? What are "normal" growth patterns in social, technological, and information networks? Many studies have discovered patterns in stati...
Jure Leskovec, Jon M. Kleinberg, Christos Faloutso...
KDD
2007
ACM
220views Data Mining» more  KDD 2007»
14 years 9 months ago
SCAN: a structural clustering algorithm for networks
Network clustering (or graph partitioning) is an important task for the discovery of underlying structures in networks. Many algorithms find clusters by maximizing the number of i...
Xiaowei Xu, Nurcan Yuruk, Zhidan Feng, Thomas A. J...