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...
It is well known that both space and the spatial organization play an important role in our work and learning environments as well as in everyday life. There is a definite need fo...
Christos Bouras, Ch. Tegos, V. Triglianos, Thrasyv...
The integration of multiple predictors promises higher prediction accuracy than the accuracy that can be obtained with a single predictor. The challenge is how to select the best ...
Both reactive and deliberative qualities are essential for a good action selection mechanism. We present a model that embodies a hybrid of two very different neural network archit...
This paper reports the results of a laboratory study of a proposed solution to the problem of coordinating entry into collaborative activity while protecting the privacy and contr...