Results 201 to 210 of about 101,363 (247)

Automatic Image Annotation Based on Multi Feature Fusion

Software Engineering and Applications, 2015
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Tilting Pad Thrust Bearing Fault Diagnosis Based on Acoustic Emission Signal and Modified Multi-Feature Fusion Convolutional Neural Network. [PDF]

Sensors (Basel)
Mao M, Jiang Z, Tan Z, Xiao W, Du G.
europepmc   +1 more source

Millimeter wave gesture recognition using multi-feature fusion models in complex scenes. [PDF]

Sci Rep
Hao Z, Sun Z, Li F, Wang R, Peng J.
europepmc   +1 more source

Double-target self-supervised clustering with multi-feature fusion for medical question texts. [PDF]

PeerJ Comput Sci
Shen X, Sun Y, Zhang C, Yang C, Qin Y, Zhang W, Nan J, Che M, Gao D.   +8 more
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A novel multi-feature fusion attention neural network for the recognition of epileptic EEG signals. [PDF]

Front Comput Neurosci
Sun C, Xu C, Li H, Bo H, Ma L, Li H.
europepmc   +1 more source

Biomedical event argument detection method based on multi-feature fusion and question-answer paradigm. [PDF]

Heliyon
Tian J, Xing S, Su Q.
europepmc   +1 more source

Correction to: RecGOBD: accurate recognition of gene ontology related brain development protein functions through multi-feature fusion and attention mechanisms. [PDF]

Bioinform Adv
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Multi-feature fusion point cloud completion network

World Wide Web, 2021
In the real world, 3D point cloud data is generally obtained by LiDAR scanning. However, objects in the real world are occluded from each other, which will cause the point cloud scanned by LiDAR to be partially missing. In this paper, we improve PF-Net (a learning-based point cloud completion network), which is better to obtain the feature of the point
Xiu Chen, Yujie Li, Yun Li
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Multi-feature fusion deep networks

Neurocomputing, 2016
In this paper, we propose a novel deep networks, multi-feature fusion deep networks (MFFDN), based on denoising autoencoder. MFFDN significantly reduces the classification error while giving the interpretability of the hidden-layer feature representation in learning process.
Gang Ma, Xi Yang, Bo Zhang, Zhongzhi Shi
openaire   +1 more source

Multi-Feature Fusion and Machine Learning

2021
Freezing of gait (FoG) is a common symptom of Parkinson's disease (PD) that causes intermittent absence of forward progression of patient's feet while walking. Accordingly, FoG momentary episodes are always accompanied with falls. This chapter presents a novel multi-feature fusion model for early detection of FoG episodes in patients with PD.
Hadeer Elziaat, Nashwa El-Bendary, Ramadan Moawad   +2 more
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