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PKDD
2010
Springer
169views Data Mining» more  PKDD 2010»
14 years 7 months ago
Efficient and Numerically Stable Sparse Learning
We consider the problem of numerical stability and model density growth when training a sparse linear model from massive data. We focus on scalable algorithms that optimize certain...
Sihong Xie, Wei Fan, Olivier Verscheure, Jiangtao ...
TWC
2011
367views more  TWC 2011»
14 years 4 months ago
Improving the Performance of Wireless Ad Hoc Networks Through MAC Layer Design
—In this paper, the performance of the ALOHA and CSMA MAC protocols are analyzed in spatially distributed wireless networks. The main system objective is correct reception of pac...
Mariam Kaynia, Nihar Jindal, Geir E. Øien
ICFP
2009
ACM
15 years 10 months ago
Parallel concurrent ML
Concurrent ML (CML) is a high-level message-passing language that supports the construction of first-class synchronous abstractions called events. This mechanism has proven quite ...
John H. Reppy, Claudio V. Russo, Yingqi Xiao
DAC
2004
ACM
15 years 11 months ago
Efficient on-line testing of FPGAs with provable diagnosabilities
We present novel and efficient methods for on-line testing in FPGAs. The testing approach uses a ROving TEster (ROTE), which has provable diagnosabilities and is also faster than ...
Vinay Verma, Shantanu Dutt, Vishal Suthar
MIR
2004
ACM
125views Multimedia» more  MIR 2004»
15 years 3 months ago
Autonomous visual model building based on image crawling through internet search engines
In this paper, we propose an autonomous learning scheme to automatically build visual semantic concept models from the output data of Internet search engines without any manual la...
Xiaodan Song, Ching-Yung Lin, Ming-Ting Sun