An agent must acquire internal representation appropriate for its task, environment, sensors. As a learning algorithm, reinforcement learning is often utilized to acquire the rela...
Attractor systems are useful in neurodynamics,mainly in the modelingof associative memory. Thispaper presentsa complexity theory for continuous phase space dynamical systems with ...
Robotic controllers take advantage from neural network learning capabilities as long as the dimensionality of the problem is kept moderate. This paper explores the possibilities of...
We describe a steganographic system which embeds secret messages into a video stream. We examine the signal path which typically includes discrete cosine transformation (DCT) based...
Software piracy is a major economic problem: it leads to revenue losses, it favors big software houses that are less hurt by these losses and it prevents new software economy model...
In the last few years, a large number of schemes have been proposed for hiding copyright marks and other information in digital pictures, video, audio and other multimedia objects....
Fabien A. P. Petitcolas, Ross J. Anderson, Markus ...