Creator
- Itamar Roth 1
- Jan Allebach 1
- Jiayin Liu, 0000-0001-5630-6824 1
- Kelsie Larson 1
- Mireille Boutin, 0000-0002-0837-6577 1
- Orel Bat Mor 1
- Oren Haik 1
- Shani Gat 1
- Tal Frank 1
- Yitzhak Yitzhaky 1
Type
- Dataset 2
Date
subject: Machine Learning subject: Electrical and Computer Engineering
Total is 2 Results
Code and Dataset for TARP Detection Benchmarks
10.4231/R7ST7MVC
Kelsie Larson, Mireille Boutin, 0000-0002-0837-6577
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
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, 0000-0001-5630-6824, 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
Display #
Results 1 - 2 of 2