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» Classifier Selection Based on Data Complexity Measures
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IWCMC
2010
ACM
15 years 3 months ago
Estimating routing symmetry on single links by passive flow measurements
The assumption of routing symmetry is often embedded into traffic analysis and classification tools. This paper uses passively captured network data to estimate the amount of tra...
Wolfgang John, Maurizio Dusi, Kimberly C. Claffy
CSE
2009
IEEE
15 years 4 months ago
Prospector: Multiscale Energy Measurement of Networked Embedded Systems with Wideband Power Signals
Abstract—Today’s wirelessly networked embedded systems underlie a vast array of electronic devices, performing computation, communication, and input/output. A major design goal...
Kenji R. Yamamoto, Paul G. Flikkema
KDD
2012
ACM
238views Data Mining» more  KDD 2012»
13 years 17 days ago
Multi-source learning for joint analysis of incomplete multi-modality neuroimaging data
Incomplete data present serious problems when integrating largescale brain imaging data sets from different imaging modalities. In the Alzheimer’s Disease Neuroimaging Initiativ...
Lei Yuan, Yalin Wang, Paul M. Thompson, Vaibhav A....
92
Voted
BTW
2005
Springer
118views Database» more  BTW 2005»
15 years 3 months ago
The MINERVA Project: Database Selection in the Context of P2P Search
: This paper presents the MINERVA project that protoypes a distributed search engine based on P2P techniques. MINERVA is layered on top of a Chord-style overlay network and uses a ...
Matthias Bender, Sebastian Michel, Gerhard Weikum,...
123
Voted
CVPR
2009
IEEE
16 years 5 months ago
Unsupervised Maximum Margin Feature Selection with Manifold Regularization
Feature selection plays a fundamental role in many pattern recognition problems. However, most efforts have been focused on the supervised scenario, while unsupervised feature s...
Bin Zhao, James Tin-Yau Kwok, Fei Wang, Changshui ...