Search Results for "pca" - Page 2

Buritrack is a program to track individual Drosophila fruit flies online with any camera as they walk in Buridan's paradigm. Available for Macs and PCs. The program extracts the coordinate locations of the fly and stores them in a text file. CeTrAn: centroid trajectory analysis: Tools written in R to analyze the flies' trajectories. Other types of trajectories may also be analyzed using the software.

This project provides a Fortran90 library and a python module for singular spectrum analyses such as PCA/EOF or MSSA. It is intended for people interested, for example, in analysing climate or financial variability.

We propose an algorithm for facial expression recognition which can classify the given image into one of the seven basic facial expression categories (happiness, sadness, fear, surprise, anger, disgust and neutral). PCA is used for dimensionality reduction in input data while retaining those characteristics of the data set that contribute most to its variance, by keeping lower-order principal components and ignoring higher-order ones. Such low-order components contain the "most important" aspects of the data. The extracted feature vectors in the reduced space are used to train the supervised Neural Network classifier. ...

...Face Recognition has always been a popular subject for image processing and this article builds upon the good work by Sergio Andrés Gutiérrez Rojas and his original article (codeproject). The reason that face recognition is so popular is not only it’s real world application but also the common use of principle component analysis (PCA). PCA is an ideal method for recognising statistical patterns in data. The popularity of face recognition is the fact a user can apply a method easily and see if it is working without needing to know to much about how the process is working.

WaveSorter emphasizes dynamic visualization and versatility. Slider controls let the user select any coefficient or sample from any of several transforms, which can then be plotted to either axis of a 2D histogram (scatterplot). Within the waveform space, cursor-based controls let the user select subregions of the waveform space or individual waveforms to view. The user may cluster waveforms manually or via one of several popular clustering programs. The classification along with waveform...

...NESO offers new exclusive features like: - supports linux - analyzes many les at once - classifies as the same unit the same - waveforms cointained in separated files at once - spike viewer allows you to select and delete artefacts very easily just dragging the cursor - selects spikes manually to sort or delete them with just one click At this point you can: - analyze NeuroShare and MultiChannel Systems recordings - view your recordings as superimposed waveforms or as waveforms in time - use PCA and Height vs Width analysis to extract waveform features - use Vectorial Quantization or K-Means anaysis to sort the waveforms (spikes) classify spikes as diferent units - use templates to sort spikes - save the analysis results as NeuroShare format Developers: Daniel de Santos Sierra Cristina Soto Sanchez

The Stanford Machine Learning Course Exercises repository contains programming assignments from the well-known Stanford Machine Learning online course. It includes implementations of a variety of fundamental algorithms using Python and MATLAB/Octave. The repository covers a broad set of topics such as linear regression, logistic regression, neural networks, clustering, support vector machines, and recommender systems. Each folder corresponds to a specific algorithm or concept, making it easy...

Source code for the paper J. Keiner and B. Waterhouse. Fast Principal Components Analysis method for finance problems with unequal time steps. In P. L'Ecuyer and A. B. Owen, editors, Monte Carlo and Quasi-Monte Carlo Methods 2008, Springer Verlag, 2010

Very basic cellular automaton implementation in C#. Based upon the "Togetherness" algorithm described at http://www.hermetic.ch/pca/tg.htm.

...Backpropagation and RPROP are available as training algorithms. Design goals: speed of execution when calculating the output to new data, and quality of training (preprocessing: PCA).

A clearing house for various pieces of open source software which use the GenCAM data format for input or output of electronic interconnect (PWB, PCB, PWA, PCA) information.

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.