WIKIPEDIA ARTICLE GROUP 9 Contents Article Overview 1. - PowerPoint PPT Presentation

WIKIPEDIA ARTICLE GROUP 9

Contents  Article Overview 1. Dimensionality Reduction 2. Gaussian Process 3. Gaussian Process Latent Variable Model  Article Edits

Dimensionality Reduction According to dimensionality reduction , data of interest lie on an embedded non-linear manifold within the higher-dimensional space. If the manifold is of low enough dimension, the data can be visualised in the low-dimensional space .(wikipedia)

Dimensionality Reduction A simple model of the digit – rotate the ‘prototype’.

Dimensionality Reduction Projection onto Principal Components. 60 40 20 PC no 3 0 -20 -40 -60 -60 -40 -20 0 20 40 60 PC no 2

Gaussian Process  Distribution over functions of infinite dimensions defined by the mean and covariance.

Gaussian Process Latent Variable Model  Gaussian Process Latent Variable Model is a technique from dimensionality reduction which has the essence of both Gaussian processes and dimensionality Reduction Techniques.

Gaussian Process Latent Variable Model

Proposed Article Edits  Added relevant images to the article to make the description more intutive and appealing.  Added references and links to relevant material for technical terms used in the article.  Simplified the language , providing a more intutive explanation of various non technical terms used as a part of the article

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