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» Robust Induction of Process Models from Time-Series Data
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ICASSP
2010
IEEE
14 years 9 months ago
Acoustic model adaptation via Linear Spline Interpolation for robust speech recognition
We recently proposed a new algorithm to perform acoustic model adaptation to noisy environments called Linear Spline Interpolation (LSI). In this method, the nonlinear relationshi...
Michael L. Seltzer, Alex Acero, Kaustubh Kalgaonka...
PRL
2006
117views more  PRL 2006»
14 years 9 months ago
Feature selection in robust clustering based on Laplace mixture
A wrapped feature selection process is proposed in the context of robust clustering based on Laplace mixture models. The clustering approach we consider is a generalization of the...
Aurélien Cord, Christophe Ambroise, Jean Pi...
IDA
2010
Springer
14 years 11 months ago
Oracle Coached Decision Trees and Lists
This paper introduces a novel method for obtaining increased predictive performance from transparent models in situations where production input vectors are available when building...
Ulf Johansson, Cecilia Sönströd, Tuve L&...
ISBI
2011
IEEE
14 years 1 months ago
Automated lineage tree reconstruction from Caenorhabditis elegans image data using particle filtering based cell tracking
Caenorhabditis elegans is an important model organism for the study of molecular mechanisms of development and disease processes, due to its well-known genome and invariant cell l...
Noemí Carranza-Herrezuelo, Ihor Smal, Oleh ...
77
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BSN
2006
IEEE
150views Sensor Networks» more  BSN 2006»
15 years 1 months ago
Multi-sensor Data Fusion Using the Influence Model
System robustness against individual sensor failures is an important concern in multi-sensor networks. Unfortunately, the complexity of using the remaining sensors to interpolate ...
Wen Dong, Alex Pentland