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Lascer liefert zu einer Menge binär klassifizierter Attribut-Vektoren eine Menge von Regeln zur Beschreibung der Klassen. Die Regeln können auch mathematische Funktionen enthalten, deren Art vorgegeben werden kann.
This project includes the implementation of a neural network MLP, RBF, SOM and Hopfield networks in several popular programming languages. The project also includes examples of the use of neural networks as function approximation and time series prediction. Includes a special program makes it easy to test neural network based on training data and the optimization of the network.
Application to annotate objects and events in videos and pictures.
...The annotation of events and objects are saved into XML files and can be used for training and/or testing computer vision algorithms. In particular, LEVO can visualize and write PASCAL VOC-compatible annotation files. Some annotations from LABEL ME can be read as well. It has been tested on MS Windows. However, since it is Java-based code, it should works on Unix-like systems as well. VLC player is required to handle videos.
Personal research achievements from the authors presented here in the form of symbolic Algebra and non-numerical analysis algorithms implemented in C/C++, Java, and/or Pascal.
As part of a more wide, simple, powerful and robust CAS enviroment under development, new code will be continuously added up to this repository.
The authors give their welcome and encouragement to everyone interested in bring some kind of collaboration.
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