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CICC
2011
106views more  CICC 2011»
14 years 2 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....
CVPR
2012
IEEE
13 years 4 months ago
Geodesic flow kernel for unsupervised domain adaptation
In real-world applications of visual recognition, many factors—such as pose, illumination, or image quality—can cause a significant mismatch between the source domain on whic...
Boqing Gong, Yuan Shi, Fei Sha, Kristen Grauman
DAC
2009
ACM
16 years 3 months ago
Handling complexities in modern large-scale mixed-size placement
In this paper, we propose an effective algorithm flow to handle largescale mixed-size placement. The basic idea is to use floorplanning to guide the placement of objects at the gl...
Jackey Z. Yan, Natarajan Viswanathan, Chris Chu
141
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WWW
2006
ACM
16 years 3 months ago
POLYPHONET: an advanced social network extraction system from the web
Social networks play important roles in the Semantic Web: knowledge management, information retrieval, ubiquitous computing, and so on. We propose a social network extraction syst...
Hideaki Takeda, Junichiro Mori, Kôiti Hasida...
ICCAD
2006
IEEE
127views Hardware» more  ICCAD 2006»
15 years 11 months ago
Joint design-time and post-silicon minimization of parametric yield loss using adjustable robust optimization
Parametric yield loss due to variability can be effectively reduced by both design-time optimization strategies and by adjusting circuit parameters to the realizations of variable...
Murari Mani, Ashish Kumar Singh, Michael Orshansky