Datasets

subject: Machine Learning subject: Electrical and Computer Engineering type: dataset

Total is 2 Results
A Machine Learning Approach to Design of Aperiodic, Clustered-Dot Halftone Screens via Direct Binary Search

10.4231/AMGQ-0T59

Itamar Roth , Jan Allebach , Jiayin Liu ORCID logo , Orel Bat Mor , Oren Haik , Shani Gat , Tal Frank , Yitzhak Yitzhaky

06/01/2022

This dataset contains two parts: one has halftone patches that were used to predicts the quality level and scale using machine learning methods. The second part contains full versions of halftone images so viewers can zoom in to see the details.

direct binary search Electrical and Computer Engineering Halftone screen Machine Learning

Code and Dataset for TARP Detection Benchmarks

10.4231/R7ST7MVC

Kelsie Larson , Mireille Boutin ORCID logo

05/16/2017

The TARP method uses random projections, followed by threshold classifications, to construct receiver-operating characteristic curves and uncover underlying structure in the given data.

Electrical and Computer Engineering Machine Learning Receiver Operating Characteristics ROC curve Signal Processing Target Detection

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