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» Information Visualization and Visual Data Mining
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128
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ACCV
2010
Springer
14 years 10 months ago
Affordance Mining: Forming Perception through Action
This work employs data mining algorithms to discover visual entities that are strongly associated to autonomously discovered modes of action, in an embodied agent. Mappings are lea...
Liam Ellis, Michael Felsberg, Richard Bowden
110
Voted
IV
2006
IEEE
97views Visualization» more  IV 2006»
15 years 9 months ago
Towards Ubiquitous Brushing for Information Visualization
Brushing is a collection of techniques to dynamically query and directly select elements on the visual display. Such interaction allows the user to explore the visualization, to i...
Jonathan C. Roberts, Michael A. E. Wright
138
Voted
ICRA
2006
IEEE
110views Robotics» more  ICRA 2006»
15 years 9 months ago
Integration of Visual and Inertial Information for Egomotion: a Stochastic Approach
— We present a probabilistic framework for visual correspondence, inertial measurements and Egomotion. First, we describe a simple method based on Gabor filters to produce corre...
Justin Domke, Yiannis Aloimonos
IV
2008
IEEE
94views Visualization» more  IV 2008»
15 years 10 months ago
Visualizing Statistical Properties of Smoothly Brushed Data Subsets
In many application fields, the statistical properties of data sets are of great interest for data analysts. Since local variations can occur especially in large data sets, it is...
Andrea Unger, Philipp Muigg, Helmut Doleisch, Heid...
120
Voted
VISUALIZATION
1996
IEEE
15 years 7 months ago
Choosing Effective Colours for Data Visualization
In this paper we describe a technique for choosing multiple colours for use during data visualization. Our goal is a systematic method for maximizing the total number of colours a...
Christopher G. Healey