7 datasets found

The Image Matching Challenge dataset is a benchmark dataset for image matching and feature extraction.

The dataset used in this paper is a low-rank matrix M, which can be decomposed into a low-rank component L∗ and a sparse error matrix S∗. The authors use this dataset to test...

The proposed methods were applied on different signals and compared with the results obtained from the cepstrum method.

The dataset is used for transfer learning and feature extraction.

The dataset used in the EMG feature reduction experiment. The dataset contains EMG signals from 8 subjects performing 12 classes of finger pressures and 2 classes of finger pointing.

Exercise-specific feature extraction approach for assessing physical rehabilitation.

Learned extracted features