Manifolk: A 3D t-SNE Visualizer Article Swipe

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Krishna Kodur , Ashwin Ramesh Babu , Fillia Makedon ·

YOU? · · 2021 · Open Access · · DOI: https://doi.org/10.1145/3453892.3466619

Manifolk is a tool to visualize the output of dimensionality reduction algorithms like t-SNE, PCA etc. One of this tool's main uses is that it de-clutters graphs by plotting data points pertaining to a subset of labels. The subset of labels to be plotted can be selected using the provided checkboxes. A case study on data from a publicly available action recognition dataset like UCF101 shows how this tool can help find outliers. With the rise in self-supervised methods for training deep neural networks, this tool helps researchers better visualize the embeddings learned by the model.

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Type: article
Language: en
Landing Page: https://doi.org/10.1145/3453892.3466619
PDF: https://dl.acm.org/doi/pdf/10.1145/3453892.3466619
OA Status: gold
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Title: Manifolk: A 3D t-SNE Visualizer

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Type: article

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Language: en

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Publication year: 2021

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Publication date: 2021-06-29

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Authors: Krishna Kodur, Ashwin Ramesh Babu, Fillia Makedon

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Landing page: https://doi.org/10.1145/3453892.3466619

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Concepts: Computer science, Computer graphics (images)

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