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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.

168,695 papers · 148 categories

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2 results for “PCA-GMM”

PCA Reduced Gaussian Mixture Models with Applications in Superresolutionstat.ML

Paper proposes PCA-GMM for efficient superresolution of material images.

problem Efficiently handling large and high-dimensional data sets.

method PCA-GMM combining Gaussian Mixture Model and PCA for dimensionality reduction.

result PCA-GMM improves superresolution of material images with moderate dimensionality reduction.

PCA-GMM Gaussian Mixture Model Superresolution Dimensionality Reduction Material Images

2020-09-16abs ↗pdf ↗

Predicting Generalization in Deep Learning via Local Measures of Distortionstat.ML

Study shows simple vector quantization measures correlate with deep learning generalization.

problem Understanding and predicting generalization in deep learning models.

method Applying complexity measures from approximation and information theory to deep learning features.

result Simple vector quantization measures correlate well with generalization performance in deep learning.

Deep Learning Generalization Complexity Measures Vector Quantization PCA

2020-12-13abs ↗pdf ↗