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mlearn is a gradient based learning toolbox for matlab. While it is fairly simple to build a neural network, it is designed for ease of implementing new kind of gradient based architecture.
URBI: Universal Robotic Body Interface. URBI is a scripted command language used to control robots (AIBO, pioneer,...). It is a robot-independant API based on a client/server architecture. Liburbi C++/Java/Matlab are available here. Forum available at ht
MPT is a toolbox that supplies cross-platform libraries
for real-time perception primitives, including face detection, eye detection,
blink detection, and color tracking.
nBoost is a suite of boosting algorithms designed to solve binary classification problems on data that is not linearly separable by a convex combination of base hypotheses, i.e. noisy data. WARNING: Active development. Underlying algorithm is unstable.
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Function
1. classifier_knn
2. accuracy_knn
Description
1. Returns the estimated label of one test instance, the k nearest training instances, the k nearest training labels and creates a chart circulating the nearest training instances (chart 2-D of the first two features of each instance).
2. Returns the estimated labels of one or multiple test instances and the accuracy of the estimates.
This is a MATLAB toolbox implementing Computer Vision and Pattern Recognition related algorithms. Check out http://cvprtoolbox.svn.sourceforge.net/svnroot/cvprtoolbox/. See also http://note.sonots.com/SciSoftware.html
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GURLS - (Grand Unified Regularized Least Squares) is a software package for training multiclass classifiers based on the Regularized Least Squares (RLS) loss function.
The initial version has been designed and implemented in Matlab. Teh current goal is to implement an object-oriented C++ version to allow for a wider distribution of the library within the open-source developers' comunity.
Main functionalities already implemented are:
* Automatic parameter selection.
* Handle...
WHAY is a Video-based Face Recognition tool written in MATLAB. It aims to exploits PCA recognizing as better as possible and tests the limits of this approach.
EveAI processes the data assuming that it has already been read by a sensor.
Theoretically this should give it reflex behavior. Now the end product should be a self conscious machine future plans are to include the field of robotics.