ICA can be used in brain activation studies to reduce the number of dimension and filter out independent and interesting activations. This demonstration shows two studies. One provided by Hvidovre Universitets Hospital, Denmark, that consists of fMRI scannings of humans. Another provided by the EU sponsored MAPAWAMO project from fMRI scannings of monkeys. In the demo comparison between icaMS, icaML, icaMF, icaMF (positive sources) and PCA can be made. More detailes can found in [2].
This program uses the database created by MakeAPIDB. It opens a connection
* to a database using the same property file used by MakeAPIDB. Then it
* queries that database in several interesting ways to obtain useful
* information about Java APIs. It can be used to look up the fully-qualified
* name of a member, class, or package, or it can be used to list the members
* of a class or package.
This applet illustrates the prediction capabilities of the multi-layer perceptrons. It allows to define an input signal on which prediction will be performed. The user can choose the number of input units, hidden units and output units, as well as the delay between the input series and the predicted output series. Then it is possible to observe interesting prediction properties.
The project Adventure is a simple text-based adventure game. The game, as given, involves the hero trying to find his way from a deep dark forest to home and his true love. There s very little else the player can do apart from moving from place to place. It s not really very interesting.
This project can be of use beyond the given, rather boring forest adventure though. You can use it as a basis for developing your own adventure game with different, more interesting commands, areas, items, people and so on.
The package ope.adventure contains classes to describe the game world.
In 1960, R.E. Kalman published his famous paper describing a recursive solution to the discretedata
linear filtering problem [Kalman60]. Since that time, due in large part to advances in digital
computing, the
Kalman filter
has been the subject of extensive research and application,
particularly in the area of autonomous or assisted navigation. A very “friendly” introduction to the
general idea of the Kalman filter can be found in Chapter 1 of [Maybeck79], while a more complete
introductory discussion can be found in [Sorenson70], which also contains some interesting
historical narrative.
C++ Gotchas is the professional programmer s guide to avoiding and correcting ninety-nine of the most common, destructive, and interesting C++ design and programming errors. It also serves as an inside look at the more subtle C++ features and programming techniques.
