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TIT
2010
118views Education» more  TIT 2010»
15 years 1 months ago
Joint sampling distribution between actual and estimated classification errors for linear discriminant analysis
Error estimation must be used to find the accuracy of a designed classifier, an issue that is critical in biomarker discovery for disease diagnosis and prognosis in genomics and p...
Amin Zollanvari, Ulisses Braga-Neto, Edward R. Dou...
210
Voted
TSP
2010
15 years 1 months ago
Optimal/near-optimal dimensionality reduction for distributed estimation in homogeneous and certain inhomogeneous scenarios
We consider distributed estimation of a deterministic vector parameter from noisy sensor observations in a wireless sensor network (WSN). The observation noise is assumed uncorrela...
Jun Fang, Hongbin Li
ICASSP
2011
IEEE
14 years 10 months ago
A classifier-based decoding approach for large scale distributed coding
Canonical distributed quantization schemes do not scale to large sensor networks due to the exponential decoder storage complexity that they entail. Prior efforts to tackle this i...
Kumar Viswanatha, Sharadh Ramaswamy, Ankur Saxena,...
330
Voted
EUROSYS
2011
ACM
14 years 10 months ago
Database engines on multicores, why parallelize when you can distribute?
Multicore computers pose a substantial challenge to infrastructure software such as operating systems or databases. Such software typically evolves slower than the underlying hard...
Tudor-Ioan Salomie, Ionut Emanuel Subasu, Jana Gic...
ASUNAM
2011
IEEE
14 years 6 months ago
DisNet: A Framework for Distributed Graph Computation
—With the rise of network science as an exciting interdisciplinary research topic, efficient graph algorithms are in high demand. Problematically, many such algorithms measuring...
Ryan Lichtenwalter, Nitesh V. Chawla