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ICML
2010
IEEE
13 years 11 months ago
Deep Supervised t-Distributed Embedding
Deep learning has been successfully applied to perform non-linear embedding. In this paper, we present supervised embedding techniques that use a deep network to collapse classes....
Martin Renqiang Min, Laurens van der Maaten, Zinen...
VLSID
2002
IEEE
142views VLSI» more  VLSID 2002»
14 years 10 months ago
Address Code and Arithmetic Optimizations for Embedded Systems
An important class of problems used widely in both the embedded systems and scientific domains perform memory intensive computations on large data sets. These data sets get to be ...
J. Ramanujam, Satish Krishnamurthy, Jinpyo Hong, M...
DSD
2009
IEEE
118views Hardware» more  DSD 2009»
14 years 5 months ago
Internet-Router Buffered Crossbars Based on Networks on Chip
—The scalability and performance of the Internet depends critically on the performance of its packet switches. Current packet switches are based on single-hop crossbar fabrics, w...
Kees Goossens, Lotfi Mhamdi, Iria Varela Senin
SIGCOMM
2009
ACM
14 years 4 months ago
A programmable, generic forwarding element approach for dynamic network functionality
Communication networks are growing exponentially, and new services and applications are being introduced unceasingly. To meet the demands of these services and applications, curre...
Ran Giladi, Niv Yemini
ICS
2009
Tsinghua U.
14 years 2 months ago
Exploring pattern-aware routing in generalized fat tree networks
New static source routing algorithms for High Performance Computing (HPC) are presented in this work. The target parallel architectures are based on the commonly used fattree netw...
Germán Rodríguez, Ramón Beivi...