No context found. J. Schmidhuber, M. Eldracher, and B. Foltin. Semilinear predictability minimization produces well-known feature detectors . J. Schmidhuber, M. Eldracher, and B. Foltin. Semilinear predictability minimization produces well-known feature detectors .
AAs seem to require parallel implementation.
Encouraged by the familiar lococodes obtained in our experiments with visual data we intend to move on to higher dimensional inputs and larger receptive fields. It will also be interesting to test whether successive Lococode stages, each feeding its code into the next, will lead to complex feature detectors such as those discovered in deeper regions of the mammalian visual cortex. Semilinear predictability minimization produces well-known feature detectors . They may represent a first step towards unification of regularization and unsupervised learning. J. Schmidhuber, M. Eldracher, and B. Foltin.