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Obada Issa and Tamer Shanableh
This paper proposes a novel approach to activity recognition where videos are compressed using video coding to generate feature vectors based on compression variables. We propose to eliminate the temporal domain of feature vectors by computing the mean a...
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Erkan Danaci, Yusuf Bayrak, Anil Cetinkaya, Murat Arslan, Handan Sakarya, Aliye Kartal Dogan and Gulsun Tunay
Radio Frequency (RF) power sensor calibration is one of the essential measurements in RF and microwave metrology. For a reliable and accurate power sensor calibration, there are various methods, such as the substitution method, the direct comparison tran...
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Tingkai Hu, Zuqin Chen, Jike Ge, Zhaoxu Yang and Jichao Xu
Insufficiently labeled samples and low-generalization performance have become significant natural language processing problems, drawing significant concern for few-shot text classification (FSTC). Advances in prompt learning have significantly improved t...
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Achintya Kumar Sarkar and Zheng-Hua Tan
Deep representation learning has gained significant momentum in advancing text-dependent speaker verification (TD-SV) systems. When designing deep neural networks (DNN) for extracting bottleneck (BN) features, the key considerations include training targ...
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Bowen Xing, Liang Zhang, Zhenchong Liu, Hengjiang Sheng, Fujia Bi and Jingxiang Xu
The goal of this paper is to strengthen the supervision of fishing behavior in the East China Sea and effectively ensure the sustainable development of fishery resources. Based on AIS data, this paper analyzes three types of fishing boats (purse seine op...
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Narges Jangjoo, Elham Alijanpour, Saeid Khodabakhsh, Seyed Sadredin Shojaedin and Roozbeh Naemi
There is evidence in the literature to suggest that low back pain may change spine?pelvis coordination during activities of daily living. This study aimed to compare the variability of the spine?pelvis coordination during sit-to-stand in people with and ...
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Ralf Reiner Müller, Bernhard Martin Wilhelm Gäde and Ali Bereyhi
Here we introduce the new concept of computation coding. Similar to how rate-distortion theory is concerned with the lossy compression of data, computation coding deals with the lossy computation of functions. Particularizing to linear functions, we pres...
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Youmeng Luo, Wei Li, Xiaoyu Ma and Kaiqiang Zhang
With the continuous progress of image retrieval technology, in the field of image retrieval, the speed of a search for a desired image from a great deal of image data becomes a hot issue. Convolutional Neural Networks (CNN) have been used in the field of...
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Chin-Chen Chang, Jui-Feng Chang, Wei-Jiun Kao and Ji-Hwei Horng
During transmission of digital images, secret messages can be embedded using data hiding techniques. Such techniques can transfer private secrets without drawing the attention of eavesdroppers. To reduce the amount of transmitted data, image compression ...
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Kaihua Hou, Chengqi Cheng, Bo Chen, Chi Zhang, Liesong He, Li Meng and Shuang Li
As the amount of collected spatial information (2D/3D) increases, the real-time processing of these massive data is among the urgent issues that need to be dealt with. Discretizing the physical earth into a digital gridded earth and assigning an integral...
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