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» An integrative approach to modeling biological networks
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WSC
1998
13 years 9 months ago
Integrating Neural Networks with Special Purpose Simulation
Traditional methods of dealing with variability in simulation input data are mainly stochastic. This is most often the best method to use if the factors affecting the variation or...
Dany Hajjar, Simaan M. AbouRizk, Kevin Mather
ECCV
2006
Springer
14 years 9 months ago
An Integrated Model for Accurate Shape Alignment
In this paper, we propose a two-level integrated model for accurate face shape alignment. At the low level, the shape is split into a set of line segments which serve as the nodes ...
Lin Liang, Fang Wen, Xiaoou Tang, Ying-Qing Xu
SSDBM
2000
IEEE
155views Database» more  SSDBM 2000»
14 years 1 days ago
Knowledge-Based Integration of Neuroscience Data Sources
The need for information integration is paramount in many biological disciplines, because of the large heterogeneity in both the types of data involved and in the diversity of app...
Amarnath Gupta, Bertram Ludäscher, Maryann E....
IJFCS
2006
130views more  IJFCS 2006»
13 years 7 months ago
Mealy multiset automata
We introduce the networks of Mealy multiset automata, and study their computational power. The networks of Mealy multiset automata are computationally complete. 1 Learning from Mo...
Gabriel Ciobanu, Viorel Mihai Gontineac
HT
1998
ACM
13 years 12 months ago
From Latent Semantics to Spatial Hypertext - An Integrated Approach
In this paper, we introduce an integrated approach to the development of spatial hypertext. This approach brings together several theories and techniques concerning semantic struc...
Chaomei Chen, Mary Czerwinski