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» Effectively Visualizing Large Networks Through Sampling
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VIP
2003
13 years 9 months ago
On the Structural Algorithm of Filtering Graphs for Layout
When the amount of information in visualization becomes large enough, users can not perceive all elements at the same time. This problem can be solved by removing parts of the inf...
Xiaodi Huang, Wei Lai
ORGSCI
2010
78views more  ORGSCI 2010»
13 years 6 months ago
Heterogeneity, Brokerage, and Innovative Performance: Endogenous Formation of Collaborative Inventor Networks
In this study I examine how past performance influences the relative positions of actors in a network and how the actor-level heterogeneity in quality mediates the often-demonstra...
Jeongsik "Jay" Lee
ISM
2005
IEEE
103views Multimedia» more  ISM 2005»
14 years 1 months ago
Supporting Low-Cost Video-on-Demand in Heterogeneous Peer-to-Peer Networks
We propose a novel low-cost video-on-demand architecture for heterogeneous peer-to-peer networks. The key idea of this architecture is to aggregate peers’ storage and bandwidths...
Xin Liu, Son T. Vuong
CVPR
2003
IEEE
14 years 9 months ago
Object Removal by Exemplar-Based Inpainting
A new algorithm is proposed for removing large objects from digital images. The challenge is to fill in the hole that is left behind in a visually plausible way. In the past, this...
Antonio Criminisi, Kentaro Toyama, Patrick P&eacut...
CIKM
2008
Springer
13 years 9 months ago
Mining social networks using heat diffusion processes for marketing candidates selection
Social Network Marketing techniques employ pre-existing social networks to increase brands or products awareness through word-of-mouth promotion. Full understanding of social netw...
Hao Ma, Haixuan Yang, Michael R. Lyu, Irwin King