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This is a c-library that provides tools for advanced
analysis of electrophysiological data. It features
denoising, unsupervised classification, time-frequency
analysis, phase-space analysis, neural networks, time-warping and
more.
DOGMA is a MATLAB toolbox for discriminative online learning. It implements all the state of the art algorithms in a unique and simple framework. Examples are Perceptron, Passive-Aggresive, ALMA, NORMA, SILK, Projectron, RBP, Banditron, etc.
This package can be used for further development of package needs to deal with 3D geometrical relationship. It provides class for Vector, Point, Coordinate, transformations and also provides functions for dealing with relationships between them.
This project is devoted to the creation of an open source Error-Correcting Output Codes (ECOC) library for the Machine Learning community. The ECOC framework is a powerful tool to deal with multi-class categorization problems.
TestTwo is a test case generator and an evolution of James Bach's Allpairs. It was necessary to have a solid Matlab interface, so Ruby is used to allow easier usage of the external Matlab/C libraries.
A MATLAB toolbox for time series analysis using state space models. Supports fully interactive model construction with MATLAB objects and efficient Kalman filter backend implemented in c.
The KUKA Control Toolbox (KCT) is a collection of MATLAB functions developed at the University of Siena, for motion control of KUKA robot manipulators.
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This is a collection of MEX(Matlab EXecutable) files which enable you to get images(depth/RGB/IR) from Kinect on Matlab environment. They are wrapper functions of OpenNI APIs. No tool boxes are required.
C2Mat is a simple wrapper library that allows OpenCV data structures to be transferred between C++ and Matlab. It lets a program combine the speed of OpenCV with the power of Matlab.
This tookit for Matlab and Octave allows to calculate Normal Tissue complication probabilities starting from dose volume histograms. The work was sponsored by EURATOM under the ALLEGRO project http://allegroproject.org
This is an editor for the pylab package. This editor work with ipython shell and pylab, and it enables us to run a script file or selection lines easily. It is suitable for writing a small script for daily scientific/engineering/academic report.
This is a Content Based Image Retrieval Interface with only color features implemented. This is part of a thesis work to analyze the different color features and observe the performance on mainly corel5k images.
The project contains a matlab package for generating poised lattices and coarse-fine interpolation matrices for high-order adaptive mesh refinement. It accompanies the paper by Qinghai Zhang submitted to Comput. Methods Appl. Mech. Engrg.
xswifs stands for: cross SoftWare Interfaces.
This project provide examples (snippets) for interfacing various software tools and languages with various mechanism. It has been created to help in HW/SW co-simulation and to provide benchmarks.
This is a MATLAB version of AUTO, where we have integrated AUTO into MATLAB via mex functions. We hope that it would be useful teaching tool and can help popularise the methods amongst the engineering community.
This is a collection of MEX(Matlab EXecutable) files which enable you to get images from USB cameras on Matlab environment. They are wrapper functions of videoInput Library APIs. No tool boxes are required.
This is a MATLAB toolbox for the quality control and scoring of EMAP and SGA genetic interaction data. It includes a graphical user interface and some automatic plot-generating tools.
Face recognition using BPNN. Contains 1.Face recognition using Back propagation neural network (customize code) code using matlab. 2. Face recognition using Back propagation network (builtin) code using matlab.Project closed for now,Adeel Raza Azeemi