On-device research index

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.

169,341 papers · 148 categories

Trend · papers per month

count % of corpus

2 results for “SUSAN”

Kernelized Weighted SUSAN based Fuzzy C-Means Clustering for Noisy Image Segmentationcs.CV

Kernelized SUSAN fuzzy clustering improves noisy image segmentation.

problem Inability of existing algorithms to preserve edge information and structural details.

method Kernelized Weighted SUSAN fuzzy C-Means clustering with spatial constraints and edge quality metric.

result Improved segmentation of noisy images with preserved edge information and structural details.

Kernelized clustering SUSAN Fuzzy C-Means Noisy image segmentation Edge quality metric

2016-03-28abs ↗pdf ↗

Proceedings of the 2016 ICML Workshop on Human Interpretability in Machine Learning (WHI 2016)stat.ML

ICML workshop on making machine learning models more understandable.

problem Making machine learning models more understandable to humans.

method Various presentations and discussions on interpretability.

result Increased awareness and discussion on model interpretability.

machine learning interpretability ICML workshop

2016-07-08abs ↗pdf ↗