Pedestrian tracking in thermal videos using TFM (tri-feature matrix)
Sign Up to like & getrecommendations! Published in 2021 at "Pattern Analysis and Applications"
DOI: 10.1007/s10044-020-00926-0
Abstract: Nowadays, thermal cameras play a major role because of its temperature-based photography in many applications such as video surveillance, monitoring electronics/electrical machines, forest monitoring, monitoring babies/adult patients, and suspicious object detection. Tracking pedestrians in thermal… read more here.
Keywords: feature matrix; pedestrian tracking; tri feature; system ... See more keywords
Design of a Flexible, User Friendly Feature Matrix Generation System and its Application on Biomedical Datasets
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Grid Computing"
DOI: 10.1007/s10723-020-09518-y
Abstract: The generation of a feature matrix is the first step in conducting machine learning analyses on complex data sets such as those containing DNA, RNA or protein sequences. These matrices contain information for each object… read more here.
Keywords: feature matrix; system; feature; generation ... See more keywords
DNRLCNN: A CNN Framework for Identifying MiRNA-Disease Associations Using Latent Feature Matrix Extraction with Positive Samples.
Sign Up to like & getrecommendations! Published in 2022 at "Interdisciplinary sciences, computational life sciences"
DOI: 10.1007/s12539-022-00509-z
Abstract: Emerging evidence indicates that miRNAs have strong relationships with many human diseases. Investigating the associations will contribute to elucidating the activities of miRNAs and pathogenesis mechanisms, and providing new opportunities for disease diagnosis and drug… read more here.
Keywords: positive samples; latent feature; mirna disease; feature ... See more keywords