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» Boosting Methods for Regression
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ICIP
2009
IEEE
13 years 7 months ago
Face identification using linear regression
In this paper we present a novel approach of face identification by formulating the pattern recognition problem in terms of linear regression. Using a fundamental concept that pat...
Imran Naseem, Roberto Togneri, Mohammed Bennamoun
INTERSPEECH
2010
13 years 4 months ago
Integration of multilayer regression analysis with structure-based pronunciation assessment
Automatic pronunciation assessment has several difficulties. Adequacy in controlling the vocal organs is often estimated from the spectral envelopes of input utterances but the en...
Masayuki Suzuki, Yu Qiao, Nobuaki Minematsu, Keiki...
JMLR
2010
143views more  JMLR 2010»
13 years 4 months ago
Regularized Discriminant Analysis, Ridge Regression and Beyond
Fisher linear discriminant analysis (FDA) and its kernel extension--kernel discriminant analysis (KDA)--are well known methods that consider dimensionality reduction and classific...
Zhihua Zhang, Guang Dai, Congfu Xu, Michael I. Jor...
ICASSP
2011
IEEE
13 years 1 months ago
Motion vector recovery with Gaussian Process Regression
In this paper, we propose a Gaussian Process Regression (GPR) framework for concealment of corrupted motion vectors in predictive video coding of packet video systems. The problem...
Hadi Asheri, Abdolkhalegh Bayati, Hamid R. Rabiee,...
DATAMINE
2006
127views more  DATAMINE 2006»
13 years 10 months ago
Computing LTS Regression for Large Data Sets
Least trimmed squares (LTS) regression is based on the subset of h cases (out of n) whose least squares t possesses the smallest sum of squared residuals. The coverage h may be se...
Peter Rousseeuw, Katrien van Driessen