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In this contribution we propose an efficient nonlinear discriminative visualiza- tion technique which combines prototype-based classification and recent matrix.
An extension of prototype-based local matrix learning by a charting technique which results in an efficient nonlinear di- mension reduction and ...
Nonlinear Discriminative Data Visualization. K. Bunte, B. Hammer, P. Schneider and M. Biehl. Proc. of the 17th European Symposium on Artificial Neural ...
In this contribution we propose an efficient nonlinear discriminative visualization technique which combines prototype-based classification and recent matrix ...
Abstract: Discriminative nonlinear dimensionality reduction aims at a visualization of a given set of data such that the information contained in the data ...
Oct 22, 2024 · ... discriminant analysis [3] and kernel clustering-based discrimi- ... discriminative dimension reduction of labeled data. Neurocomputing, 73(7-.
In this contribution we propose a discriminative visualization scheme which is based on an extension of Learning Vector Quantization and relevance learning. X.
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The idea behind the combined DNN is to use the generalized discriminant analysis as an encoding DNN and to equip it with a regularizing decoding DNN. Regarding ...
Discriminative Dimensionality Reduction for the Visualization of Classifiers. Chapter © 2015. Interactive Data Visualization Using Dimensionality Reduction ...
Regularized Nonlinear Discriminant Analysis - An Approach to Robust Dimensionality Reduction for Data Visualization ... discriminative features of low ...