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Publications by Thomas Villmann
Limited Rank Matrix Learning, Discriminative Dimension Reduction and Visualization
Neural Networks
Artificial Intelligence
Cognitive Neuroscience
Functional Relevance Learning in Generalized Learning Vector Quantization
Neurocomputing
Computer Science Applications
Artificial Intelligence
Cognitive Neuroscience
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Adaptive Local Dissimilarity Measures for Discriminative Dimension Reduction of Labeled Data
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Subspace Structural Constraint-Based Discriminative Feature Learning via Nonnegative Low Rank Representation
PLoS ONE
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Alignment-Free Visualization of Metagenomic Data by Nonlinear Dimension Reduction
Scientific Reports
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Learning Sparse Gradients for Variable Selection and Dimension Reduction
Machine Learning
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Applications of Discriminative Dimensionality Reduction
On Principal Hessian Directions for Data Visualization and Dimension Reduction: Another Application of Stein's Lemma
Journal of the American Statistical Association
Uncertainty
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Improved Manifold Learning Algorithm for Data Dimension Reduction Based on KNN
Dimension Reduction Methods
Discriminative Learning of Apparel Features
