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» Process Diagnostics: A Method Based on Process Mining
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ICASSP
2011
IEEE
14 years 10 months ago
Online speech source separation based on maximum likelihood of local Gaussian modeling
We propose an online speech source separation method which can separate sources under underdetemined conditions. The proposed method is based on local Gaussian modeling (LGM). At ...
Masahito Togami
ICUIMC
2009
ACM
16 years 1 months ago
PicAChoo: a tool for customizable feature extraction utilizing characteristics of textual data
Although documents have hundreds of thousands of unique words, only a small number of words are significantly useful for intelligent services. For this reason, feature extraction ...
Jaeseok Myung, Jung-Yeon Yang, Sang-goo Lee
KDD
2004
ACM
118views Data Mining» more  KDD 2004»
16 years 7 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...
WSC
2007
15 years 9 months ago
Predicting cluster tool behavior with slow down factors
Cluster tools are representatives of a special kind of tool where process times of jobs depend on the combination in which they are processed together on the tool and hence, depen...
Robert Unbehaun, Oliver Rose
PDPTA
2008
15 years 8 months ago
New Heuristics for Rotation Scheduling
- For an iterative process to be parallelized, the operations that comprise the process must be organized into a correct schedule that will allow the hardware to compute the task. ...
Michael Richter, David Poeschl, Timothy W. O'Neil