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Some of the next articles are maybe not open access.

2011
This paper presents a new approach to face profile classification. It was shown that the Linear Discriminant Analysis combined with the Principal Component Analysis can be used to construct an accurate face profile predictor. Proposed classifier achieves 85% accuracy in face profile prediction.
Krzysztof Rusek, Tomasz Orzechowski, Andrzej Dziech +2 more
openaire +1 more source

Source code analysis with LDA

Journal of Software: Evolution and Process, 2016
AbstractLatent Dirichlet allocation (LDA) has seen increasing use in the understanding of source code and its related artifacts in part because of its impressive modeling power. However, this expressive power comes at a cost: The technique includes several tuning parameters whose impact on the resulting LDA model must be carefully considered.
David W. Binkley +3 more
openaire +1 more source

An Improvement to Matrix-Based LDA

2011
The matrix-based LDA method is attracting increasing attention. Compared with classic LDA, this method can overcome the small sample size (SSS) problem. However, previous literatures neglect the fact that there are two available matrix-based LDA algorithms and usually use only one of the two algorithms to perform the experiment.
Chongyang Zhang, Jingyu Yang 0001
openaire +1 more source

LDA

2021
Wolfgang Karl Härdle, Xinwen Ni
openaire +1 more source

LDA+: An Extended LDA Model for Topic Hierarchy and Discovery

2022
Amani Drissi +5 more
openaire +1 more source

Discriminative LDA