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Martin Kleinsteuber

2 accepted papers

2016

Trace Quotient Meets Sparsity: A Method for Learning Low Dimensional Image Representations

CVPR 2016poster

This paper presents an algorithm that allows to learn low dimensional representations of images in an unsupervised manner. The core idea is to combine two criteria that play important roles in unsupervised representation learning, namely sparsity and trace quotient. The former is known to be a conve…

Cited by 20PDFScholar