171 to 180 of 184 Results
Oct 31, 2017 -
Multiple Sources Estimation and Partitioning
Unknown - 2.6 KB -
MD5: 7768bc2d8921bb69e1b514a2cb4cfd9a
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Oct 31, 2017 -
Multiple Sources Estimation and Partitioning
Unknown - 3.6 KB -
MD5: c5e63c8042a7bc1c427971a8c9881023
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Oct 31, 2017 -
Multiple Sources Estimation and Partitioning
Unknown - 6.7 KB -
MD5: 94eec987883099ae3781f1646ad590ef
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Oct 31, 2017 -
Multiple Sources Estimation and Partitioning
Unknown - 8.5 KB -
MD5: 10855ec94dca118c69b02a41bfc3ada4
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Oct 31, 2017 -
Multiple Sources Estimation and Partitioning
Unknown - 10.8 KB -
MD5: 35fa083287fcd567deef1341c1ec0d30
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Oct 31, 2017 -
Multiple Sources Estimation and Partitioning
Plain Text - 212 B -
MD5: 63f7a0fd6ef8bce8f4d8cc4a602e0559
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Oct 31, 2017 -
Multiple Sources Estimation and Partitioning
Unknown - 234 B -
MD5: eea3d42f7200bad4017a2b000e7e62a3
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Oct 31, 2017
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Oct 31, 2017 - Inference privacy
He, Xin; Tay, Wee Peng; Sun, Meng, 2017, "Gun and cash images", https://doi.org/10.21979/N9/OTHTTC, DR-NTU (Data), V1
The dataset contains two datasets, which record 200/600 images. 'GunCash80X80NO200.mat' contains one type of gun and cash '3gun80X80No600.mat' contains three types of gun and cash The data format is matlab mat file, which can be loaded and displayed through the m file "load_GunCa... |
Oct 31, 2017 -
Gun and cash images
Unknown - 2.8 MB -
MD5: ea8073af06490ea1f5d53799e0e49f95
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