Airspace Classification

ThManager is a tool for creating and visualizing knowledge organization models, such as thesauri, classification schemes, glosaries and other types of controlled vocabulary in SKOS format

T-Rex (Trainable Relation Extraction) is a highly configurable machine learning-based Information Extraction from Text framework, which includes tools for document classification, entity extraction and relation extraction.

A collection of plug-in algorithms for the WEKA machine learning workbench including artificial neural network (ANN) algorithms, and artificial immune system (AIS) algorithms.


Platforms: Windows, Mac, Linux

In an apocalyptic steam punk future, you are a privateer ferrying goods across treacherous airspace. Protect your airship and yourself from an onslaught of pirates, and safely reach your destination to reap the rewards. Features There are 19 levels in full version of Guns of Icarus, each has its...


Platforms: Mac

This module simply implements a system that has been going on for ages on the Internet: automatic link exchanges between related websites that also tracks the amount of visitors sent in, so that a classification of the "top referrers" can be kept.InstallationUnpack in your modules folder (usually...


Platforms: Windows, Mac, *nix, PHP, BSD Solaris

This is an implementation of the calculation of STC value according to ASTM E 413-04. Classification for Rating Sound Insulation.Input the transmission loss in one third octave bands (dB) and enter the frequency bands and the program will calculate the STC value and produce a graph.The center...


Platforms: Matlab

This demo shows the recognition stage for the character recognition. This example come with a GUI with a trained network for handwritting recognition. The step-by-step explanation can be found at:http://basic-eng.blogspot.com/


Platforms: Matlab

A fast Gentle Adaboost classifier with two different weak-learners: i) decision stump and ii) perceptron. Multiclass is performed with the one-against-all strategy.Usage ------ model = gentleboost_model(X , y , [T] , [options]); Inputs ------- X Features matrix (d x N) y Labels (1 x N). If y...


Platforms: Matlab

to run it:you will need first to run the file that name "charGUI4.fig" and on the right side there is a load training set where you have to train the system first, run any data that is should be from 1 to 9 and 0 like ( 1 2 3 4 5 5 6 7 8 9 0) as many line as you want so if you have a traning data...


Platforms: Matlab

Simple Matlab Code for Neural Network Hebb Learning Rule.It is good for NN beginners students. It can be applied for simple tasks e.g. Logic "and", "or", "not" and simple images classification.


Platforms: Matlab

Here we uses matlab inbuilt functions. But our task is to remove all inbuilt functions write our own functions using wavelet concepts to implement in Embedded systems.This code is developed using the following reference paper.http://www.sciencedirect.com/science/artic...263224109002139


Platforms: Matlab

The large classification margin is the most usual approach to achieve good generalization. The most known maximal margin algorithm is SVM, for which different kernels have been investigated. Unfortunately, in the context of some real world problems, such as on-the-fly object detection, the use of...


Platforms: Matlab

This little package contains a Parzen Neural Network classifier that can classify data between N classes in D dimensions. The classifier is really fast and simple to learn. The good classification performance can be obtained for a certain class of data distributions. Other classifiers must be...


Platforms: Matlab

this project aims at recognizingcharacters from a text image.Both the uppercase and lowercase letter with numerals are recognized.And spaces are also recognized within different words.The process of OCR involves several steps including segmentation, feature extraction, and classification.OCR.m is...


Platforms: Matlab

Faces detection toolbox v 0.2-----------------------------This toolbox provides some tools for faces detection/classification using Local Binary Patterns (and some variants) and Haar features.Face detection is performed by evaluating over multi-scans windows trained models with boosting...


Platforms: Matlab

shape description using FD fourier coeeficeients used for shape classification.the steps :1 . find the indexes borders of edged image (input binary edged image see test for example)2. sort the indexes so they in distance order3. make complex vecotr x+jy4 make fft5 take first FD6. make...


Platforms: Matlab

Fast and Efficient Speech Signal Classification with a Novel Nonlinear TransformDogaru, R.;Information Technology Convergence, 2007. ISITC 2007. International Symposium on23-24 Nov. 2007 Page(s):43 - 47Digital Object Identifier 10.1109/ISITC.2007.37


Platforms: Matlab

This code has a little bit modification on "Jose Suau Rodriguez" code (isodata.m), this one extend the classification dimension from 2D to N-D, and runs faster (almost 50x times faster than isodata.m)


Platforms: Matlab

Slides and demo files from the live webinar "EstatdoTsstica Computacional: IntrodudoTzdodlo a ClassificadoTzdodlo de PadrdoTAes utilizando o MATLAB" ("Computational Statistics:Getting Started with Classification using MATLAB" in Portuguese).


Platforms: Matlab

It is an Eigenface based Facial Expression recognition system. The idea of eigenface was first proposed by Turk and Pentland. Implementation details can be found in http://www.cs.ucsb.edu/%7Emturk/Papers/mturk-CVPR91.pdf


Platforms: Matlab