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104
Voted
DAC
2005
ACM
16 years 3 months ago
A lattice-based framework for the classification and design of asynchronous pipelines
This paper presents a unifying framework for the modeling of asynchronous pipeline circuits. A pipeline protocol is captured in a graph-based model which defines the partial order...
Peggy B. McGee, Steven M. Nowick
146
Voted
ICASSP
2009
IEEE
15 years 9 months ago
Microarray classification using block diagonal linear discriminant analysis with embedded feature selection
In this paper, block diagonal linear discriminant analysis (BDLDA) is improved and applied to gene expression data. BDLDA is a classification tool with embedded feature selection...
Lingyan Sheng, Roger Pique-Regi, Shahab Asgharzade...
125
Voted
ICASSP
2009
IEEE
15 years 9 months ago
Reducing F0 Frame Error of F0 tracking algorithms under noisy conditions with an unvoiced/voiced classification frontend
In this paper, we propose an F0 Frame Error (FFE) metric which combines Gross Pitch Error (GPE) and Voicing Decision Error (VDE) to objectively evaluate the performance of fundame...
Wei Chu, Abeer Alwan
AUSAI
2009
Springer
15 years 6 months ago
Ensemble Approach for the Classification of Imbalanced Data
Ensembles are often capable of greater prediction accuracy than any of their individual members. As a consequence of the diversity between individual base-learners, an ensemble wil...
Vladimir Nikulin, Geoffrey J. McLachlan, Shu-Kay N...
IWCMC
2010
ACM
15 years 4 months ago
A flow trace generator using graph-based traffic classification techniques
We propose a novel methodology to generate realistic network flow traces to enable systematic evaluation of network monitoring systems in various traffic conditions. Our technique...
Peter Siska, Marc Ph. Stoecklin, Andreas Kind, Tor...