Dimensionality Reduction

Parameters

3.8M

Published

Jul 18, 2006

Dimensionality Reduction is an AI model developed by University of Toronto (Canada), first published in July 2006. It works in the vision domain, on tasks such as face recognition.

Epoch AI has no training-compute estimate for this model. The model has 3,800,000 parameters. It was trained on roughly 47M datapoints.

The reference paper has 15,697 citations.

Full record

Organization: University of Toronto
Country of organization: Canada
Domain: Vision
Task: Face recognition
Parameters: 3,800,000
Dataset size: 47M
Citations: 15,697