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CORR
2016
Springer
122views Education» more  CORR 2016»
3 years 3 months ago
Exploiting Low-dimensional Structures to Enhance DNN Based Acoustic Modeling in Speech Recognition
We propose to model the acoustic space of deep neural network (DNN) class-conditional posterior probabilities as a union of lowdimensional subspaces. To that end, the training pos...
Pranay Dighe, Gil Luyet, Afsaneh Asaei, Herv&eacut...
ICCV
2003
IEEE
9 years 9 months ago
Learning a Locality Preserving Subspace for Visual Recognition
Previous works have demonstrated that the face recognition performance can be improved significantly in low dimensional linear subspaces. Conventionally, principal component analy...
Xiaofei He, Shuicheng Yan, Yuxiao Hu, HongJiang Zh...
TSP
2016
47views more  TSP 2016»
3 years 3 months ago
Performance Analysis of Spatial Smoothing Schemes in the Context of Large Arrays
This paper addresses the statistical behaviour of spatial smoothing subspace DoA estimation schemes using a sensor array in the case where the number of observations N is signifi...
Gia-Thuy Pham, Philippe Loubaton, Pascal Vallet
DAS
2010
Springer
8 years 10 months ago
Improved classification through runoff elections
We consider the problem of dealing with irrelevant votes when a multi-case classifier is built from an ensemble of binary classifiers. We show how run-off elections can be used to...
Oleg Golubitsky, Stephen M. Watt
ISBI
2008
IEEE
9 years 8 months ago
Integrated profiling of cell surface protein and nuclear marker for discriminant analysis
Cell membrane proteins play an important role in tissue architecture and cell-cell communication. We hypothesize that segmentation and multivariate characterization of the distrib...
Ju Han, Hang Chang, Kumari L. Andarawewa, Paul Yas...
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