Results 31 to 40 of about 16,062,156 (297)
Multi-level evaluation indicator system of coal mine comprehensive level.
, 2021 Multi-level evaluation indicator system of coal mine comprehensive level.
Ling Shen (86009) +2 more
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Multi-Receptive Field Soft Attention Part Learning for Vehicle Re-Identification
Entropy, 2023 Vehicle re-identification across multiple cameras is one of the main problems of intelligent transportation systems (ITSs). Since the differences in the appearance between different vehicles of the same model are small and the appearance of the same ...
Xiyu Pang, Yilong Yin, Yanli Zheng
doaj +1 more source
Multi-group analysis (education level).
, 2022 Multi-group analysis (education level).
Tai Ming Wut (13222368) +2 more
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IEEE Access, 2020 Speech emotion recognition is a challenging but important task in human computer interaction (HCI). As technology and understanding of emotion are progressing, it is necessary to design robust and reliable emotion recognition systems that are suitable ...
Ngoc-Huynh Ho +3 more
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Multi-level feature analysis for semantic category recognition [PDF]
2013 IEEE International Geoscience and Remote Sensing Symposium - IGARSS, 2013 At half-meter resolution the earth's surface has roughly 600 Trillion pixels. The need to process satellite imagery at such enormous scales for automated semantic categorization and the requirement to repeat this process at time-stipulated intervals demand optimal strategies to scan, extract, and, represent image features for accurate land-cover ...
Sridharan, Harini, Cheriyadat, Anil
openaire +2 more sources
Dilated residual networks with multi-level attention for speaker verification
, 2020 With the development of deep learning techniques, speaker verification (SV) systems based on deep neural network (DNN) achieve competitive performance compared with traditional i-vector-based works. Previous DNN-based SV methods usually employ time-delay
Xu, J, Guo, C, Wu, Y, Gao, H, Bai, G
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Visual Sentiment Analysis Based on Multi-level Features Fusion of Dual Attention [PDF]
Jisuanji gongcheng, 2021 In order to obtain more discriminative image features and improve the accuracy of sentiment classification, a visual sentiment analysis model based on multi-level feature fusion of dual attention is proposed.Firstly, the model extracts multi-channel and ...
CAI Guoyong, CHU Yangyang
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Pedestrian Detection Algorithm for Infrared Image Based on Multi-level Features [PDF]
Jisuanji gongcheng, 2020 Due to the differences of imaging principle between visible images and infrared images,pedestrian detection algorithms for visible images cannot be directly applied to infrared images.To address the problem,this paper proposes a pedestrian detection ...
ZHANG Chi, TAN Nanlin, LI Guozheng, SU Shuqiang
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Multi-level representation of terrain features on a contour map [PDF]
GeoInformatica, 2012 Contour lines are important for quantitatively displaying relief and identifying morphometric features on a map. Contour trees are often used to represent spatial relationships between contours and assist the user in analysing the terrain. However, automatic analysis from the contour tree is still limited as features identified on a map by sets of ...
openaire +1 more source