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arXiv research

A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.

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2 results for “PixelHop++”

PixelHop++: A Small Successive-Subspace-Learning-Based (SSL-based) Model for Image Classificationeess.IV

PixelHop++ improves image classification with a smaller model size.

problem Improving image classification models with smaller sizes.

method Decomposing input tensor, channel-wise Saab transform, successive subspace learning, feature ranking.

result PixelHop++ offers a flexible tradeoff between model size and performance.

image classification successive subspace learning PixelHop++smaller model channel-wise Saab transform

2020-02-08abs ↗pdf ↗

PixelHop: A Successive Subspace Learning (SSL) Method for Object Classificationcs.LG

A new machine learning methodology, called successive subspace learning (SSL), is introduced in this work. SSL contains four key ingredients: 1) successive near-to-far neighborhood expansion; 2) unsupervised dimension reduction via subspace approximation; 3) supervised dimension reduction via label-assisted regression …

2019-09-17abs ↗pdf ↗