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NN
2002
Springer
114views Neural Networks» more  NN 2002»
15 years 4 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 11 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 6 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 9 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 9 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