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ICB
2009
Springer
140views Biometrics» more  ICB 2009»
15 years 5 months ago
A Discriminant Analysis Method for Face Recognition in Heteroscedastic Distributions
Linear discriminant analysis (LDA) is a popular method in pattern recognition and is equivalent to Bayesian method when the sample distributions of different classes are obey to t...
Zhen Lei, ShengCai Liao, Dong Yi, Rui Qin, Stan Z....
ICC
2007
IEEE
137views Communications» more  ICC 2007»
15 years 5 months ago
Maximum-Likelihood Decoding and Performance Analysis of a Noisy Channel Network with Network Coding
Abstract— We investigate sink decoding methods and performance analysis approaches for a network with intermediate node encoding (coded network). The network consists of statisti...
Ming Xiao, Tor M. Aulin
SGAI
2005
Springer
15 years 4 months ago
The Effect of Principal Component Analysis on Machine Learning Accuracy with High Dimensional Spectral Data
This paper presents the results of an investigation into the use of machine learning methods for the identification of narcotics from Raman spectra. The classification of spectr...
Tom Howley, Michael G. Madden, Marie-Louise O'Conn...
ICASSP
2008
IEEE
15 years 5 months ago
Confidence scores for acoustic model adaptation
This paper focuses on confidence scores for use in acoustic model adaptation. Frame-based confidence estimates are used in linear transform (CMLLR and MLLR) and MAP adaptation. ...
Christian Gollan, Michiel Bacchiani
CORR
2012
Springer
185views Education» more  CORR 2012»
13 years 6 months ago
Adjustment Criteria in Causal Diagrams: An Algorithmic Perspective
Identifying and controlling bias is a key problem in empirical sciences. Causal diagram theory provides graphical criteria for deciding whether and how causal effects can be iden...
Johannes Textor, Maciej Liskiewicz