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NN
2002
Springer
114views Neural Networks» more  NN 2002»
15 years 2 months ago
Learning the parts of objects by auto-association
Recognition-by-components is one of the possible strategies proposed for object recognition by the brain, but little is known about the low-level mechanism by which the parts of o...
Xijin Ge, Shuichi Iwata
JMLR
2010
202views more  JMLR 2010»
14 years 9 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...
SDM
2008
SIAM
105views Data Mining» more  SDM 2008»
15 years 4 months ago
Gaussian Process Learning for Cyber-Attack Early Warning
Network security has been a serious concern for many years. For example, firewalls often record thousands of exploit attempts on a daily basis. Network administrators could benefi...
Jian Zhang 0004, Phillip A. Porras, Johannes Ullri...
ICCAD
1992
IEEE
93views Hardware» more  ICCAD 1992»
15 years 7 months ago
Timing analysis in high-level synthesis
This paper presents a comprehensive timing model for behavioral-level specifications and algorithms for timing analysis in high-level synthesis. It is based on a timing network wh...
Andreas Kuehlmann, Reinaldo A. Bergamaschi
IPPS
1992
IEEE
15 years 7 months ago
CCHIME: A Cache Coherent Hybrid Interconnected Memory Extension
This paper presents a hybrid shared memory architecture which combines the scalability of a multistage interconnection network with the contention reduction benefits of coherent c...
Matthew K. Farrens, Arvin Park, Allison Woodruff