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SIGIR
2006
ACM
15 years 3 months ago
Large scale semi-supervised linear SVMs
Large scale learning is often realistic only in a semi-supervised setting where a small set of labeled examples is available together with a large collection of unlabeled data. In...
Vikas Sindhwani, S. Sathiya Keerthi
ASAP
2005
IEEE
121views Hardware» more  ASAP 2005»
15 years 3 months ago
Using TLM for Exploring Bus-based SoC Communication Architectures
As billion transistor System-on-chips (SoC) become commonplace and design complexity continues to increase, designers are faced with the daunting task of meeting escalating design...
Sudeep Pasricha, Mohamed Ben-Romdhane
BROADNETS
2005
IEEE
15 years 3 months ago
A Lightweight framework for source-to-sink data transfer in wireless sensor networks
— Lightweight protocols that are both bandwidth and power thrifty are desirable for sensor networks. In addition, for many sensor network applications, timeliness of data deliver...
James Jobin, Zhenqiang Ye, Honomount Rawat, Srikan...
BROADNETS
2005
IEEE
15 years 3 months ago
Modeling and performance evaluation of ISCSI storage area networks
Abstract— This paper provides a concise modeling and performance evaluation of the iSCSI storage area network (SAN) architecture and protocol. SANs play a key role in business co...
Christoph M. Gauger, Martin Köhn, Sebastian G...
CODES
2005
IEEE
15 years 3 months ago
Aggregating processor free time for energy reduction
Even after carefully tuning the memory characteristics to the application properties and the processor speed, during the execution of real applications there are times when the pr...
Aviral Shrivastava, Eugene Earlie, Nikil D. Dutt, ...
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