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Classifying time series data using manifold techniques -- 2

Hello, I am a Master student in the filed of computer science. Main research focus is image classification , audio/video signal and EEG signal processing. grassmannian manifold and Time series classification. current project topic is about( Time series classification using techniques on the Grassmann manifold ) First, Using the autoregressive-moving average (ARMA) model to parametrise time series data, then it represents the ARMA parameters as points on a Grassmann manifold (collection of Euclidean subspaces). Then we use a support vector machine (SVM) equipped with kernel methods to Performs classification defined on Grassmann manifolds. Requirements: I need someone who have a good knowledge with such project development or similar related to manifold techniques project that he can improve my existing project and link a new datasets, or provide similar project related to manifold also help with paper writing and other writing. the whole current project code is almost finish and I will provide it. I uploaded references and poster upon request that I want to change it to paper, that has mostly the main idea and writings. in short it is an easy work for those who have good understanding on such fields as everything being provided and please only people how has good knowledge can accept the work and get it done asap. Thanks

Compétences : Python, Matlab and Mathematica, Algorithme, Machine Learning (ML), Computer Vision

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Concernant l'employeur :
( 0 commentaires ) Syracuse, China

Nº du projet : #28958016

9 freelances font une offre moyenne de 316 $ pour ce travail

sajjadtaghvaeifr

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nycer847

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kazemmojtama

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rizwanmpec

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jackiedev00

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asiavoldemar

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nazarhussain114

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