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SSPR
2000
Springer
14 years 4 days ago
The Role of Combining Rules in Bagging and Boosting
To improve weak classifiers bagging and boosting could be used. These techniques are based on combining classifiers. Usually, a simple majority vote or a weighted majority vote are...
Marina Skurichina, Robert P. W. Duin
ICASSP
2011
IEEE
13 years 9 days ago
Well-calibrated heavy tailed Bayesian speaker verification for microphone speech
The work presented in this paper is an extension of our two previous works [1, 2]. In the first paper [1], we proposed a low dimensional feature (i-vectors) extractor which is su...
Mohammed Senoussaoui, Patrick Kenny, Pierre Dumouc...
CAIP
2009
Springer
246views Image Analysis» more  CAIP 2009»
14 years 3 months ago
Human Age Estimation by Metric Learning for Regression Problems
Abstract. The estimation of human age from face images is an interesting problem in computer vision. We proposed a general distance metric learning scheme for regression problems, ...
Yangjing Long
PKDD
2009
Springer
120views Data Mining» more  PKDD 2009»
14 years 3 months ago
Variational Graph Embedding for Globally and Locally Consistent Feature Extraction
Existing feature extraction methods explore either global statistical or local geometric information underlying the data. In this paper, we propose a general framework to learn fea...
Shuang-Hong Yang, Hongyuan Zha, Shaohua Kevin Zhou...
PR
2008
113views more  PR 2008»
13 years 8 months ago
Do unbalanced data have a negative effect on LDA?
For two-class discrimination, Ref. [1] claimed that, when covariance matrices of the two classes were unequal, a (class) unbalanced dataset had a negative effect on the performanc...
Jing-Hao Xue, D. Mike Titterington