This paper focuses on the problem of person detection in harsh industrial environments. Different image regions often have different requirements for the person to be detected. Ad...
In this paper an evolutionary algorithm is used for evolving gaits in a walking biped robot controller. The focus is fast learning in a real-time environment. An incremental appro...
Since the presentation of the backpropagation algorithm, a vast variety of improvements of the technique for training a feed forward neural networks have been proposed. This articl...
Simulation beginners often spend a great amount of time to accumulate the knowledge as well as the experience to overcome the technical complexity of computer simulation. Limited ...
We address the problem of learning structure in nonlinear Markov networks with continuous variables. This can be viewed as non-Gaussian multidimensional density estimation exploit...