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» Process modelling: the deontic way
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GECCO
2007
Springer
182views Optimization» more  GECCO 2007»
15 years 3 months ago
Stochastic training of a biologically plausible spino-neuromuscular system model
A primary goal of evolutionary robotics is to create systems that are as robust and adaptive as the human body. Moving toward this goal often involves training control systems tha...
Stanley Phillips Gotshall, Terence Soule
TCAD
2008
98views more  TCAD 2008»
14 years 11 months ago
Early Analysis and Budgeting of Margins and Corners Using Two-Sided Analytical Yield Models
Manufacturing process variations lead to variability in circuit delay and, if not accounted for, can cause excessive timing yield loss. The familiar traditional approaches to timin...
Khaled R. Heloue, Farid N. Najm
IESA
2007
15 years 25 days ago
CCTS-based Business Information Modelling for Increasing Cross-Organizational Interoperability
The dissemination of e-Business solutions among small and medium sized enterprises (SMEs) is still very low due to various reasons. In the course of the GENESIS project, we aim at ...
Christoph Schroth, G. Pemptroad, Till Janner
ICIP
2010
IEEE
14 years 8 months ago
Implicit Motion-Shape Model: A generic approach for action matching
We develop a robust technique to find similar matches of human actions in video. Given a query video, Motion History Images (MHI) are constructed for consecutive keyframes. This i...
Tuan Hue Thi, Li Cheng, Jian Zhang, Li Wang
JMLR
2010
202views more  JMLR 2010»
14 years 6 months ago
Learning the Structure of Deep Sparse Graphical Models
Deep belief networks are a powerful way to model complex probability distributions. However, it is difficult to learn the structure of a belief network, particularly one with hidd...
Ryan Prescott Adams, Hanna M. Wallach, Zoubin Ghah...