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» A Meta-Study of Algorithm Visualization Effectiveness
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TVCG
2010
153views more  TVCG 2010»
15 years 17 days ago
A Visual Analytics Approach to Understanding Spatiotemporal Hotspots
As data sources become larger and more complex, the ability to effectively explore and analyze patterns amongst varying sources becomes a critical bottleneck in analytic reasoning...
Ross Maciejewski, Stephen Rudolph, Ryan Hafen, Ahm...
WWW
2009
ACM
16 years 2 months ago
Learning to tag
Social tagging provides valuable and crucial information for large-scale web image retrieval. It is ontology-free and easy to obtain; however, irrelevant tags frequently appear, a...
Lei Wu, Linjun Yang, Nenghai Yu, Xian-Sheng Hua
ICRA
2008
IEEE
162views Robotics» more  ICRA 2008»
15 years 8 months ago
Vision-based estimation of slip angle for mobile robots and planetary rovers
— For a mobile robot it is critical to detect and compensate for slippage, especially when driving in rough terrain environments. Due to its highly unpredictable nature, drift la...
Giulio Reina, Genya Ishigami, Keiji Nagatani, Kazu...
100
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ICIP
2005
IEEE
15 years 7 months ago
Bayesian blind source separation for brain imaging
This paper deals with the problem of blind source separation in fMRI data analysis. Our main contribution is to present a maximum likelihood based method to blindly separate the b...
Hicham Snoussi, Vince D. Calhoun
VISSYM
2007
15 years 4 months ago
Grouse: Feature-Based, Steerable Graph Hierarchy Exploration
Grouse is a feature-based approach to steerable exploration of a graph and an associated hierarchy. Steerability allows exploration to begin immediately, rather than requiring a c...
Daniel Archambault, Tamara Munzner, David Auber