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DCC
2009
IEEE
14 years 8 months ago
Compressed Kernel Perceptrons
Kernel machines are a popular class of machine learning algorithms that achieve state of the art accuracies on many real-life classification problems. Kernel perceptrons are among...
Slobodan Vucetic, Vladimir Coric, Zhuang Wang
RECOMB
2002
Springer
14 years 8 months ago
Comparison of minisatellites
In the class of repeated sequences that occur in DNA, minisatellites have been found polymorphic and became useful tools in genetic mapping and forensic studies. They consist of a...
Eric Rivals, Sèverine Bérard
MOBISYS
2003
ACM
14 years 7 months ago
Energy Aware Lossless Data Compression
Wireless transmission of a bit can require over 1000 times more energy than a single 32-bit computation. It would therefore seem desirable to perform significant computation to re...
Kenneth C. Barr, Krste Asanovic
ICDCS
2006
IEEE
14 years 1 months ago
PRINS: Optimizing Performance of Reliable Internet Storages
Distributed storage systems employ replicas or erasure code to ensure high reliability and availability of data. Such replicas create great amount of network traffic that negative...
Qing Yang, Weijun Xiao, Jin Ren
CCGRID
2005
IEEE
14 years 1 months ago
Mapping DAG-based applications to multiclusters with background workload
Before an application modelled as a Directed Acyclic Graph (DAG) is executed on a heterogeneous system, a DAG mapping policy is often enacted. After mapping, the tasks (in the DAG...
Ligang He, Stephen A. Jarvis, Daniel P. Spooner, D...