Multiple features learning for ship classification in optical imagery
Sign Up to like & getrecommendations! Published in 2017 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-017-4952-y
Abstract: The sea surface vessel/ship classification is a challenging problem with enormous implications to the world’s global supply chain and militaries. The problem is similar to other well-studied problems in object recognition such as face recognition.… read more here.
Keywords: ship classification; classification; classification optical; multiple features ... See more keywords
Multiple features extraction and selection for detection and classification of stator winding faults
Sign Up to like & getrecommendations! Published in 2017 at "Iet Electric Power Applications"
DOI: 10.1049/iet-epa.2017.0457
Abstract: In this study, a new effective approach for detection and classification of stator winding faults in induction motors is presented. The approach is based on current analysis. It uses multiple features extraction techniques, where Park… read more here.
Keywords: stator winding; multiple features; stator; winding faults ... See more keywords
Pausing of Chloroplast Ribosomes Is Induced by Multiple Features and Is Linked to the Assembly of Photosynthetic Complexes1[OPEN]
Sign Up to like & getrecommendations! Published in 2018 at "Plant Physiology"
DOI: 10.1104/pp.17.01564
Abstract: Ribosome pausing in chloroplasts is caused by multiple features of mRNA and nascent peptide chain and influences transmembrane protein folding and cofactor integration. Many mRNAs contain pause sites that briefly interrupt the progress of translation.… read more here.
Keywords: ribosome pausing; pause sites; chloroplast; multiple features ... See more keywords
Ensemble and Random RX With Multiple Features Anomaly Detector for Hyperspectral Image
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2022.3167758
Abstract: Hyperspectral anomaly detection (HAD) has always been a hot topic in hyperspectral image (HSI) processing. The Reed-Xiaoli (RX) detector is one of the most widely used methods for HAD. However, most improved versions of RX… read more here.
Keywords: anomaly detector; random multiple; ensemble random; multiple features ... See more keywords
Multiple Features and Isolation Forest-Based Fast Anomaly Detector for Hyperspectral Imagery
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2020.2978491
Abstract: Hyperspectral anomaly detection (HAD) has drawn a significant attention of late due to its importance in many military and civilian applications. In this article, a fast hyperspectral anomaly detector that combines multiple features and isolation… read more here.
Keywords: multiple features; anomaly detector; isolation forest; features isolation ... See more keywords
Learning Common and Feature-Specific Patterns: A Novel Multiple-Sparse-Representation-Based Tracker
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2017.2777183
Abstract: The use of multiple features has been shown to be an effective strategy for visual tracking because of their complementary contributions to appearance modeling. The key problem is how to learn a fused representation from… read more here.
Keywords: feature; feature specific; sparse; novel multiple ... See more keywords
Nutrition Literacy Measurement Tool With Multiple Features for Chinese Adults
Sign Up to like & getrecommendations! Published in 2022 at "Food and Nutrition Bulletin"
DOI: 10.1177/03795721211073221
Abstract: Background: Nutrition literacy is an emerging term which is increasingly used in policy and research. Progression is limited by the lack of an accepted method to measure nutrition literacy in Chinese adults, even as research… read more here.
Keywords: chinese adults; literacy measurement; nutrition; multiple features ... See more keywords