Results 21 to 30 of about 17,118 (185)
Canadian Journal of Remote Sensing, 2022 Although the compact polarimetric (CP) synthetic aperture radar (SAR) mode of the RADARSAT Constellation Mission (RCM) offers new opportunities for oil spill candidate detection, there has not been an efficient machine learning model explicitly designed ...
Saeid Taleghanidoozdoozan +2 more
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IEEE Access, 2020 Recently, much attention has been attracted to automatic emotion recognition based on multi-channel electroencephalogram (EEG) signals, with the rapid development of machine learning methods.
Hao Chao, Yongli Liu
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Urdu Word Segmentation using Conditional Random Fields (CRFs)
CoRR, 2018 8 pages, COLING ...
Haris Bin Zia +2 more
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Commercial intelligence entity recognition model based on BiLSTM-CRF [PDF]
Jisuanji gongcheng, 2019 A BiLSTM-CRF model is constructed by combining the Conditional Random Field(CRF) model of Bidirectional Long Short-Term Memory(BiLSTM) network to extract three kinds of entity information,tenderer,bidding agent and bidding number,in a commercial text ...
ZHANG Yingcheng,YANG Yang,JIANG Rui,QUAN Bing,ZHANG Lijun,REN Xiaolei
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Spatial-Temporal Conditional Random Field for Human Trajectory Prediction
CoRR, 2023 Trajectory prediction is of significant importance in computer vision. Accurate pedestrian trajectory prediction benefits autonomous vehicles and robots in planning their motion. Pedestrians' trajectories are greatly influenced by their intentions.
Pengqian Han +6 more
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Implicit Evaluation Object Recognition Method Based on Deep Learning [PDF]
Jisuanji gongcheng, 2019 Online review text has the characteristics of colloquialism,and its evaluation words lack corresponding evaluation objects,which affects the effect of fine-grained sentiment analysis.Therefore,a method of automatic identification of evaluation objects ...
WANG Renwu, ZHANG Wenhui
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Named Entity Recognition in Tourism Based on Directed Graph Model [PDF]
Jisuanji gongcheng, 2022 Named entity recognition in the field of tourism is an important part in the construction of tourism knowledge graph.Compared with entities in the general field, entities in the tourism field are characterized by the long name, polysemy and frequent ...
CUI Liping, Altenbek Gulila, WANG Zhiyue
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CRF-Matching: Conditional Random Fields for Feature-Based Scan Matching
Robotics: Science and Systems III, 2007 Matching laser range scans observed at different points in time is a crucial component of many robotics tasks, including mobile robot localization and mapping. While existing techniques such as the Iterative Closest Point (ICP) algorithm perform well under many circumstances, they often fail when the initial estimate of the offset between scans is ...
Fabio T. Ramos 0001 +2 more
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Fast, Exact and Multi-Scale Inference for Semantic Image Segmentation with Deep Gaussian CRFs [PDF]
, 2016 In this work we propose a structured prediction technique that combines the virtues of Gaussian Conditional Random Fields (G-CRF) with Deep Learning: (a) our structured prediction task has a unique global optimum that is obtained exactly from the ...
Chandra, Siddhartha, Kokkinos, Iasonas
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MULTI-SOURCE MULTI-SCALE HIERARCHICAL CONDITIONAL RANDOM FIELD MODEL FOR REMOTE SENSING IMAGE CLASSIFICATION [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2015 Fusion of remote sensing images and LiDAR data provides complimentary information for the remote sensing applications, such as object classification and recognition.
Z. Zhang, M. Y. Yang, M. Zhou
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