123 search results - page 1 / 25 » Slow Feature Analysis: Unsupervised Learning of Invariances |
NECO
2002
13 years 7 months ago
2002
ALT
2006
Springer
14 years 4 months ago
2006
Springer
Abstract. We propose a method of unsupervised learning from stationary, vector-valued processes. A low-dimensional subspace is selected on the basis of a criterion which rewards da...
NIPS
2004
13 years 9 months ago
2004
In contrast to the equivalence of linear blind source separation and linear independent component analysis it is not possible to recover the original source signal from some unkno...
ICDAR
2007
IEEE
14 years 1 months ago
2007
IEEE
We describe an unsupervised learning algorithm for extracting sparse and locally shift-invariant features. We also devise a principled procedure for learning hierarchies of invari...
CVPR
2007
IEEE
14 years 9 months ago
2007
IEEE
We present an unsupervised method for learning a hierarchy of sparse feature detectors that are invariant to small shifts and distortions. The resulting feature extractor consists...