Search Results for "learning classifier system"

...Personality assessments, ...these mandatory ways to add more context & breaking-down complexity enable a better overview and a better understanding - for man and machine... ...based on the standardized structure of the DATA WE ARE NOW CREATING AND STORING, these values can now be used directly for the inputs and targets of our artificial neuronal networks and generate our competitive advantage based on SUPERIOR MACHINE LEARNING capabilities. The CYSU is a docker-compose solution: 1. prepare your Linux system with docker & docker-compose, modify the init-script & set YOUR SSL-values, chmod +x 2. docker-compose up --build Follow the detailed step-by-step documentation. >>> PS: YOU NEED A LINUX SERVER FOR INSTALL IT ! <<<

ILA stands for (kind of) intelligent, learning assistant and is a speech recognition system aka voice assistant very similar to Siri, Google Now and Cortana. ILA is fully customizable and you can teach her/him/it new things by yourself like executing system commands, opening web pages, programs and apps or just some basic conversation :-) ILA runs on Java und thus is compatible to Windows, Mac and Linux.

Research on automatic face recognition in images has rapidly developed into several inter-related lines, and this research has both lead to and been driven by a disparate and expanding set of commercial applications. The large number of research activities is evident in the growing number of scientific communications published on subjects related to face processing and recognition. Index Terms: face, recognition, eigenfaces, eigenvalues, eigenvectors, Karhunen-Loeve algorithm.

The proposed filter-based algorithm uses a bank of Gabor filters to capture both local and global details in a fingerprint as a compact fixed length FingerCode. The fingerprint matching is based on the Euclidean distance between the two corresponding FingerCodes and hence is extremely fast. We are able to achieve a verification accuracy which is only marginally inferior to the best results of minutiae-based algorithms published in the open literature. Our system performs better than a...

This is an open-hardware Infrared Remote Controlled USB keyboard, without keys, implemented using a PIC micro-controller and MikroC. IRK! enables you to use your LEARNING remote control to control any system that you can plug a USB keyboard into (Windows, Linux, Mac). Great for controlling a home theatre system such as MythTV, XBMC or Media Center. No drivers are required. You can program *any* USB keyboard function (with or without Control, Alt, Shift and GUI modifiers) to a button on your infrared remote control and when you press that button IRK! ...

Working with microprocessors is one of the most creative, challenging and rewarding areas of electronic and software engineering. Open-USB-IO makes learning this process fun and easy.

ChNIMotion allows user programs to use the FlexMotion C library and run on the fly without compilation. It's an ideal solution for teaching and learning motion control, rapid prototyping, interactive motion control, and Web-based remote motion control.

ChNIDAQ allows user programs to use the NI-DAQ C library and run interpretively without compilation. It is an ideal solution for teaching and learning data acquisition, prototyping, and web-based remote data acquisition.

pySPACE is a modular software for processing of large data streams that has been specifically designed to enable distributed execution and empirical evaluation of signal processing chains. Various signal processing algorithms (so called nodes) are available within the software, from finite impulse response filters over data-dependent spatial filters (e.g. CSP, xDAWN) to established classifiers (e.g. SVM, LDA). pySPACE incorporates the concept of node and node chains of the MDP framework. Due...