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» Graphical inference for infovis
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INFOVIS
1998
IEEE
13 years 10 months ago
LensBar - Visualization for Browsing and Filtering Large Lists of Data
We propose a simple and powerful graphical interface tool called the LensBar for filtering and visualizing large lists of data. Browsing and querying are the most important tasks ...
Toshiyuki Masui
AAAI
2011
12 years 5 months ago
Pushing the Power of Stochastic Greedy Ordering Schemes for Inference in Graphical Models
We study iterative randomized greedy algorithms for generating (elimination) orderings with small induced width and state space size - two parameters known to bound the complexity...
Kalev Kask, Andrew Gelfand, Lars Otten, Rina Decht...
JMLR
2012
11 years 8 months ago
Low rank continuous-space graphical models
Constructing tractable dependent probability distributions over structured continuous random vectors is a central problem in statistics and machine learning. It has proven diffic...
Carl Smith, Frank Wood, Liam Paninski
INFOVIS
2003
IEEE
13 years 11 months ago
Compound Brushing
This paper proposes a conceptual model called compound brushing for modeling the brushing techniques used in dynamic data visualization. In this approach brushing techniques are m...
Hong Chen
INFOVIS
1999
IEEE
13 years 10 months ago
Aggregate Towers: Scale Sensitive Visualization and Decluttering of Geospatial Data
We have developed a technique, Aggregate Towers, that allows geospatial data to be visualized across a range of map scales. We use a combination of data aggregation algorithms and...
James K. Rayson