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» Improving Branch Predictors by Correlating on Data Values
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KDD
2004
ACM
139views Data Mining» more  KDD 2004»
14 years 8 months ago
Learning a complex metabolomic dataset using random forests and support vector machines
Metabolomics is the omics science of biochemistry. The associated data include the quantitative measurements of all small molecule metabolites in a biological sample. These datase...
Young Truong, Xiaodong Lin, Chris Beecher
TIP
2011
123views more  TIP 2011»
13 years 2 months ago
Spatial Sparsity-Induced Prediction (SIP) for Images and Video: A Simple Way to Reject Structured Interference
We propose a prediction technique that is geared toward forming successful estimates of a signal based on a correlated anchor signal that is contaminated with complex interference...
Gang Hua, Onur G. Guleryuz
EWSN
2007
Springer
14 years 7 months ago
RIDA: A Robust Information-Driven Data Compression Architecture for Irregular Wireless Sensor Networks
Abstract. In this paper, we propose and evaluate RIDA, a novel informationdriven architecture for distributed data compression in a sensor network, allowing it to conserve energy a...
Xuan Thanh Dang, Nirupama Bulusu, Wu-chi Feng
ICCD
2004
IEEE
100views Hardware» more  ICCD 2004»
14 years 4 months ago
A Minimal Dual-Core Speculative Multi-Threading Architecture
Speculative Multi-Threading (SpMT) can improve single-threaded application performance using the multiple thread contexts available in current processors. We propose a minimal SpM...
Srikanth T. Srinivasan, Haitham Akkary, Tom Holman...
EUROCRYPT
2001
Springer
14 years 4 days ago
New Method for Upper Bounding the Maximum Average Linear Hull Probability for SPNs
Abstract. We present a new algorithm for upper bounding the maximum average linear hull probability for SPNs, a value required to determine provable security against linear cryptan...
Liam Keliher, Henk Meijer, Stafford E. Tavares