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» Visual exploration of categorical and mixed data sets
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ICMI
2005
Springer
120views Biometrics» more  ICMI 2005»
14 years 2 months ago
Perceiving ordinal data haptically under workload
Visual information overload is a threat to the interpretation of displays presenting large data sets or complex application environments. To combat this problem, researchers have ...
Anthony Tang, Peter McLachlan, Karen Lowe, Chalapa...
VIS
2008
IEEE
204views Visualization» more  VIS 2008»
14 years 10 months ago
Surface Extraction from Multi-field Particle Volume Data Using Multi-dimensional Cluster Visualization
Data sets resulting from physical simulations typically contain a multitude of physical variables. It is, therefore, desirable that visualization methods take into account the enti...
Lars Linsen, Tran Van Long, Paul Rosenthal, Ste...
CVPR
2007
IEEE
14 years 11 months ago
Discriminative Cluster Refinement: Improving Object Category Recognition Given Limited Training Data
A popular approach to problems in image classification is to represent the image as a bag of visual words and then employ a classifier to categorize the image. Unfortunately, a si...
Liu Yang, Rong Jin, Caroline Pantofaru, Rahul Sukt...
BMCBI
2007
153views more  BMCBI 2007»
13 years 9 months ago
An exploration of alternative visualisations of the basic helix-loop-helix protein interaction network
Background: Alternative representations of biochemical networks emphasise different aspects of the data and contribute to the understanding of complex biological systems. In this ...
Brian J. Holden, John W. Pinney, Simon C. Lovell, ...
TVCG
2012
185views Hardware» more  TVCG 2012»
11 years 11 months ago
Interest Driven Navigation in Visualization
—This paper describes a new method to explore and discover within a large data set. We apply techniques from preference elicitation to automatically identify data elements that a...
Christopher G. Healey, Brent M. Dennis