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» The Structure of Visual Spaces
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CVPR
2009
IEEE
17 years 2 months ago
Learning Semantic Visual Vocabularies Using Diffusion Distance
In this paper, we propose a novel approach for learning generic visual vocabulary. We use diffusion maps to au-tomatically learn a semantic visual vocabulary from ab-undant quantiz...
Jingen Liu (University of Central Florida), Yang Y...
INFOVIS
2003
IEEE
16 years 17 days ago
Mapping Nominal Values to Numbers for Effective Visualization
Data sets with a large number of nominal variables, some with high cardinality, are becoming increasingly common and need to be explored. Unfortunately, most existing visual explo...
Geraldine E. Rosario, Elke A. Rundensteiner, David...
SIGMOD
2008
ACM
215views Database» more  SIGMOD 2008»
16 years 7 months ago
CSV: visualizing and mining cohesive subgraphs
Extracting dense sub-components from graphs efficiently is an important objective in a wide range of application domains ranging from social network analysis to biological network...
Nan Wang, Srinivasan Parthasarathy, Kian-Lee Tan, ...
TABLETOP
2006
IEEE
16 years 1 months ago
Multi-User Interface and Interactions on Direct-Touch Horizontal Surfaces: Collaborative Tabletop Research at MERL
While “displays” have the connotation of affording visual output, “surfaces” invite the users to interact. What happens then when the surfaces are also displays, when a di...
Chia Shen
PRL
2010
105views more  PRL 2010»
15 years 5 months ago
Quasi-random nonlinear scale space
A novel nonlinear scale space framework is proposed for the purpose of multiscale image representation. The scale space decomposition problem is formulated as a general Bayesian l...
Akshaya Kumar Mishra, Alexander Wong, David A. Cla...