Results 231 to 240 of about 169,803 (261)
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Linear Discriminant Analysis for Signatures
IEEE Transactions on Neural Networks, 2010We propose signature linear discriminant analysis (signature-LDA) as an extension of LDA that can be applied to signatures, which are known to be more informative representations of local image features than vector representations, such as visual word histograms.
S. Huh, D. Lee
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Sparse tensor discriminant analysis
IEEE Transactions on Image Processing, 2013The classical linear discriminant analysis has undergone great development and has recently been extended to different cases. In this paper, a novel discriminant subspace learning method called sparse tensor discriminant analysis (STDA) is proposed, which further extends the recently presented multilinear discriminant analysis to a sparse case. Through
Zhihui Lai 0001 +4 more
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An Analysis of an Operant Discrimination
The Journal of Psychology, 1948(1948). An Analysis of an Operant Discrimination. The Journal of Psychology: Vol. 26, No. 1, pp. 93-123.
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Discriminant Independent Component Analysis
IEEE Transactions on Neural Networks, 2009A conventional linear model based on Negentropy maximization extracts statistically independent latent variables which may not be optimal to give a discriminant model with good classification performance. In this paper, a single-stage linear semisupervised extraction of discriminative independent features is proposed. Discriminant independent component
Dhir, CS Dhir, Chandra Shekhar +1 more
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Linear Discriminant Analysis and Transvariation
Journal of Classification, 2004zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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An Updated Guideline for Assessing Discriminant Validity
Organizational Research Methods, 2022Mikko Ronkko, Eunseong Cho
exaly
Oriented Discriminant Analysis
Procedings of the British Machine Vision Conference 2004, 2004Fernando De la Torre, Takeo Kanade
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