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KDD
2004
ACM
118views Data Mining» more  KDD 2004»
16 years 6 months ago
Parallel computation of high dimensional robust correlation and covariance matrices
The computation of covariance and correlation matrices are critical to many data mining applications and processes. Unfortunately the classical covariance and correlation matrices...
James Chilson, Raymond T. Ng, Alan Wagner, Ruben H...
CORR
2011
Springer
203views Education» more  CORR 2011»
15 years 1 months ago
Robust 1-Bit Compressive Sensing via Binary Stable Embeddings of Sparse Vectors
The Compressive Sensing (CS) framework aims to ease the burden on analog-to-digital converters (ADCs) by reducing the sampling rate required to acquire and stably recover sparse s...
Laurent Jacques, Jason N. Laska, Petros Boufounos,...
MICCAI
2009
Springer
16 years 7 months ago
MKL for Robust Multi-modality AD Classification
We study the problem of classifying mild Alzheimer's disease (AD) subjects from healthy individuals (controls) using multi-modal image data, to facilitate early identification...
Chris Hinrichs, Vikas Singh, Guofan Xu, Sterlin...
IPSN
2003
Springer
15 years 11 months ago
A Robust Data Delivery Protocol for Large Scale Sensor Networks
Although data forwarding algorithms and protocols have been among the first set of issues explored in sensor networking, how to reliably deliver sensing data through a vast field...
Fan Ye, Gary Zhong, Songwu Lu, Lixia Zhang
CN
2007
76views more  CN 2007»
15 years 6 months ago
A practical and robust inter-domain marking scheme for IP traceback
A practical and robust inter-domain marking scheme for IP traceback is proposed. We first identify six drawbacks of Probabilistic Packet Marking (PPM), and then contrive a synerg...
Zhiqiang Gao, Nirwan Ansari