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» Fibrational Control Structures
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138
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TNN
1998
100views more  TNN 1998»
15 years 2 months ago
A dynamical system perspective of structural learning with forgetting
—Structural learning with forgetting is an established method of using Laplace regularization to generate skeletal artificial neural networks. In this paper we develop a continu...
D. A. Miller, J. M. Zurada
123
Voted
ICIP
2004
IEEE
16 years 4 months ago
Deformable structural models
A hierarchical framework for the recognition of complex deformable shapes is developed. In extension to traditional approaches an additional layer of control is introduced to guid...
Klaus D. Tönnies, Stephan Al-Zubi, Steven Ber...
109
Voted
ISQED
2005
IEEE
95views Hardware» more  ISQED 2005»
15 years 8 months ago
Statistical Analysis of Clock Skew Variation in H-Tree Structure
This paper discusses clock skew due to manufacturing variability and environmental change. In clock tree design, transition time constraint is an important design parameter that c...
Masanori Hashimoto, Tomonori Yamamoto, Hidetoshi O...
117
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FROCOS
2005
Springer
15 years 8 months ago
Connecting Many-Sorted Structures and Theories Through Adjoint Functions
In a previous paper, we have introduced a general approach for connecting two many-sorted theories through connection functions that behave like homomorphisms on the shared signatu...
Franz Baader, Silvio Ghilardi
IDA
2003
Springer
15 years 7 months ago
A Semi-supervised Method for Learning the Structure of Robot Environment Interactions
For a mobile robot to act autonomously, it must be able to construct a model of its interaction with the environment. Oates et al. developed an unsupervised learning method that pr...
Axel Großmann, Matthias Wendt, Jeremy Wyatt