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TNN
2010
147views Management» more  TNN 2010»
15 years 1 months ago
State-space analysis of Boolean networks
This paper provides a comprehensive framework for the state space approach to Boolean networks. First, it surveys the authors' recent work on the topic: Using semitensor produ...
Daizhan Cheng, Hongsheng Qi
SCIA
2007
Springer
111views Image Analysis» more  SCIA 2007»
16 years 16 days ago
Scale-Space Texture Classification Using Combined Classifiers
Abstract. Since texture is scale dependent, multi-scale techniques are quite useful for texture classification. Scale-space theory introduces multi-scale differential operators. In...
Mehrdad J. Gangeh, Bart M. ter Haar Romeny, C. Esw...
SFM
2007
Springer
16 years 16 days ago
Tackling Large State Spaces in Performance Modelling
Stochastic performance models provide a powerful way of capturing and analysing the behaviour of complex concurrent systems. Traditionally, performance measures for these models ar...
William J. Knottenbelt, Jeremy T. Bradley
SLSFS
2005
Springer
15 years 12 months ago
Constructing Visual Models with a Latent Space Approach
We propose the use of latent space models applied to local invariant features for object classification. We investigate whether using latent space models enables to learn patterns...
Florent Monay, Pedro Quelhas, Daniel Gatica-Perez,...
CSCW
2004
ACM
15 years 12 months ago
Action as language in a shared visual space
A shared visual workspace allows multiple people to see similar views of objects and environments. Prior empirical literature demonstrates that visual information helps collaborat...
Darren Gergle, Robert E. Kraut, Susan R. Fussell