How to solve classification and regression problems on high-dimensional data with a supervised extension of slow feature analysis
By Alberto N. Escalante, Laurenz Wiskott. 2013
37 citations recorded by the source corpus.
Subfields: Computational Mechanics, Computer Vision and Pattern Recognition, Signal Processing
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In Computational Mechanics
In Computer Vision and Pattern Recognition
In Signal Processing
Citations in the corpus
- Learning in high-dimensional multimedia data: the state of the art (2015, background): “For example, the curse of dimensionality and the diminishment of specificity in similarities between points in a high dimensional space [17,8,41].”