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» Visual exploration of categorical and mixed data sets
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ICML
2010
IEEE
13 years 9 months ago
Deep networks for robust visual recognition
Deep Belief Networks (DBNs) are hierarchical generative models which have been used successfully to model high dimensional visual data. However, they are not robust to common vari...
Yichuan Tang, Chris Eliasmith
TVCG
2010
142views more  TVCG 2010»
13 years 6 months ago
Illustrative Volume Visualization Using GPU-Based Particle Systems
—Illustrative techniques are generally applied to produce stylized renderings. Various illustrative styles have been applied to volumetric data sets, producing clearer images and...
Roy van Pelt, Anna Vilanova, Huub van de Wetering
TIP
2010
151views more  TIP 2010»
13 years 2 months ago
Camera Scheduling and Energy Allocation for Lifetime Maximization in User-Centric Visual Sensor Networks
We explore camera scheduling and energy allocation strategies for lifetime optimization in image sensor networks. For the application scenarios that we consider, visual coverage ov...
Chao Yu, Gaurav Sharma
EMS
2008
IEEE
14 years 2 months ago
Modelling the Relationship between Visual Short-Term Memory Capacity and Recall Ability
Previous cognitive modelling work has suggested that the decline of short-term memory (STM) capacity is the dominant factor of age-related decline on recall ability. We report the...
Richard Ll. Smith, Peter C. R. Lane, Fernand Gobet
APVIS
2001
13 years 9 months ago
View Coordination Architecture for Information Visualisation
A view is a particular visual representation of a data set. Complex data sets typically require multiple views, each revealing a different aspect of the data. Coordinating the beh...
Tim Pattison, Matthew Phillips