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06/07/2023
Towards High-Performance Exploratory Data Analysis (EDA) Via Stable Equilibrium Point
Exploratory data analysis (EDA) is a vital procedure for data science pr...
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04/19/2023
Accelerate Support Vector Clustering via Spectrum-Preserving Data Compression
Support vector clustering is an important clustering method. However, it...
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10/25/2021
Accelerate 3D Object Processing via Spectral Layout
3D image processing is an important problem in computer vision and patte...
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10/24/2021
Improving Spectral Clustering Using Spectrum-Preserving Node Reduction
Spectral clustering is one of the most popular clustering methods. Howev...
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11/23/2019
GRASPEL: Graph Spectral Learning at Scale
Learning meaningful graphs from data plays important roles in many data ...
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10/06/2019
GraphZoom: A multi-level spectral approach for accurate and scalable graph embedding
Graph embedding techniques have been increasingly deployed in a multitud...
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12/21/2018
Nearly-Linear Time Spectral Graph Reduction for Scalable Graph Partitioning and Data Visualization
This paper proposes a scalable algorithmic framework for spectral reduct...
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10/12/2017
