Search Results for "principal component analysis"
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Showing 8 open source projects for "principal component analysis"
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MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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CognitionMaster
object-based image analysis framework
Wienert S, Heim D, Kotani M, Lindequist B, Stenzinger A, Ishii M, Hufnagl P, Beil M, Dietel M, Denkert C, Klauschen F. CognitionMaster: an object-based image analysis framework. Diagn Pathol 2013, 8:34 -
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Tool support for creating FMC* diagrams [Block diagrams, Petri nets, Entity-Relationship diagrams (ERD)] in MS-Visio 2000 and newer. Features: stencils, consistency checking, Petri net simulation, exporter e.g. pdf, ... *Fundamental Modeling Concepts A stripped down version of the stencil set is available for TAM (Technical Architecture Modeling of SAP). This set uses UML notation and contains Block, Activity, Sequence, State, Class, and Component diagrams. It doesn't contain Simulation,...
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EMGU Face Recognition
Using EMGU to perform Principle Component Analysis (PCA)
...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. -
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JGraph is the most powerful, lightweight, feature-rich, and thoroughly documented open-source graph component available for Java. See the project homepage at www.jgraph.com for information and downloads.
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TSSBank is written in c#(.Net 2.0).The main aimed group is the disabled persons.This component outputs voice & textual outputs (with value/words)plus experimental Voice Recognition (VR) system that identifies more then 80% accurately with out training.
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This project provides a JAVA library and a graphical user interface which implement the "FastICA" algorithm based on the paper "Fast and Robust Fixed-Point Algorithms for Independent Component Analysis (ICA)" by Aapo Hyvärinen.
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VisAD is a Java component library for interactive and collaborative visualization and analysis of numerical data.
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