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» NetLens: iterative exploration of content-actor network data
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IVS
2007
100views more  IVS 2007»
10 years 1 months ago
NetLens: iterative exploration of content-actor network data
Networks have remained a challenge for information retrieval and visualization because of the rich set of tasks that users want to accomplish. This paper n abstract Content-Actor ...
Hyunmo Kang, Catherine Plaisant, Bongshin Lee, Ben...
JSA
2000
115views more  JSA 2000»
10 years 1 months ago
Scheduling optimization through iterative refinement
Scheduling DAGs with communication times is the theoretical basis for achieving efficient parallelism on distributed memory systems. We generalize Graham's task-level in a ma...
Mayez A. Al-Mouhamed, Adel Al-Massarani
ICRA
2010
IEEE
172views Robotics» more  ICRA 2010»
9 years 12 months ago
Coordinated multi-robot real-time exploration with connectivity and bandwidth awareness
— While there has been substantial progress for multi-robot exploration of an unknown area, little attention has been given to communication, especially bandwidth constraints in ...
Yuanteng Pei, Matt W. Mutka, Ning Xi
IVS
2007
77views more  IVS 2007»
10 years 1 months ago
Designing semantic substrates for visual network exploration
A semantic substrate is a spatial template for a network, where nodes are grouped into regions and laid out within each region according to one or more node attributes. This paper...
Aleks Aris, Ben Shneiderman
ML
2012
ACM
413views Machine Learning» more  ML 2012»
8 years 9 months ago
Gradient-based boosting for statistical relational learning: The relational dependency network case
Dependency networks approximate a joint probability distribution over multiple random variables as a product of conditional distributions. Relational Dependency Networks (RDNs) are...
Sriraam Natarajan, Tushar Khot, Kristian Kersting,...
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