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ALT
2011
Springer
13 years 9 months ago
On the Expressive Power of Deep Architectures
Deep architectures are families of functions corresponding to deep circuits. Deep Learning algorithms are based on parametrizing such circuits and tuning their parameters so as to ...
Yoshua Bengio, Olivier Delalleau
CICC
2011
106views more  CICC 2011»
13 years 9 months ago
A 45nm CMOS neuromorphic chip with a scalable architecture for learning in networks of spiking neurons
Efforts to achieve the long-standing dream of realizing scalable learning algorithms for networks of spiking neurons in silicon have been hampered by (a) the limited scalability of...
Jae-sun Seo, Bernard Brezzo, Yong Liu, Benjamin D....
HPCA
2012
IEEE
13 years 5 months ago
Improving write operations in MLC phase change memory
Phase change memory (PCM) recently has emerged as a promising technology to meet the fast growing demand for large capacity memory in modern computer systems. In particular, multi...
Lei Jiang, Bo Zhao, Youtao Zhang, Jun Yang 0002, B...
DSD
2002
IEEE
96views Hardware» more  DSD 2002»
15 years 2 months ago
Networks on Silicon: Blessing or Nightmare?
Continuing VLSI technology scaling raises several deep submicron (DSM) problems like relatively slow interconnect, power dissipation and distribution, and signal integrity. Those ...
Paul Wielage, Kees G. W. Goossens
GIS
2008
ACM
15 years 11 months ago
Mining user similarity based on location history
The pervasiveness of location-acquisition technologies (GPS, GSM networks, etc.) enable people to conveniently log the location histories they visited with spatio-temporal data. T...
Quannan Li, Yu Zheng, Xing Xie, Yukun Chen, Wenyu ...