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SODA
2010
ACM
189views Algorithms» more  SODA 2010»
14 years 5 months ago
Correlation Clustering with Noisy Input
Correlation clustering is a type of clustering that uses a basic form of input data: For every pair of data items, the input specifies whether they are similar (belonging to the s...
Claire Mathieu, Warren Schudy
ICASSP
2009
IEEE
14 years 3 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
ICSE
1998
IEEE-ACM
14 years 2 days ago
A Model of Noisy Software Engineering Data (Status Report)
other projects in the database. Software development data is highly variable, which often result,s in underlying trends being hidden. In order to address this problem, a method of ...
Roseanne Tesoriero, Marvin V. Zelkowitz
ICIP
2010
IEEE
13 years 6 months ago
In-loop denoising of reference frames for lossless coding of noisy image sequences
The major gain in video coding applications compared to single image coding is the use of temporal prediction, which exploits the correlation between adjacent frames. However, in ...
Eugen Wige, Peter Amon, Andreas Hutter, Andr&eacut...
ICIP
2009
IEEE
14 years 9 months ago
Photo-consistent Surface Reconstruction From Noisy Point Clouds
Existing algorithms for surface reconstruction from point sets are defeated by moderate amounts of noise and outliers, which makes them unapplicable to point clouds originating fr...