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Chenhao Wu, Longgang Xiang, Libiao Chen, Qingcen Zhong and Xiongwei Wu
With the development of location-based services and data collection equipment, the volume of trajectory data has been growing at a phenomenal rate. Raw trajectory data come in the form of sequences of ?coordinate-time-attribute? triplets, which require c...
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Xueli Xie, Jianxiang Xi, Xiaogang Yang, Ruitao Lu and Wenxin Xia
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Dominik Stallmann and Barbara Hammer
Novel neural network models that can handle complex tasks with fewer examples than before are being developed for a wide range of applications. In some fields, even the creation of a few labels is a laborious task and impractical, especially for data tha...
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Newlin Shebiah Russel, S Arivazhagan, S G Amrith, S Adarsh
Pág. 25 - 33
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Jinting Zhu, Julian Jang-Jaccard, Amardeep Singh, Paul A. Watters and Seyit Camtepe
Malware authors apply different techniques of control flow obfuscation, in order to create new malware variants to avoid detection. Existing Siamese neural network (SNN)-based malware detection methods fail to correctly classify different malware familie...
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Luping Sun, Ling Ding and Xiangchun Wang
The initial model plays an important role in seismic inversion. Generally, the initial model is constructed by lateral extrapolation of parameters under horizons constraints. However, without horizon data, initial modeling becomes a challenging task. Vel...
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Dali Liu, Wenhao Shen, Wenjing Cao, Weimin Hou and Baozhu Wang
The acquisition of target data for underwater acoustic target recognition (UATR) is difficult and costly. Although deep neural networks (DNN) have been used in UATR, and some achievements have been made, the performance is not satisfactory when recognizi...
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Yang Zhang, Jin Liu, Bo Huang and Bei Chen
Entity linking plays a fundamental role in knowledge engineering and data mining and is the basis of various downstream applications such as content analysis, relationship extraction, question and answer. Most existing entity linking models rely on suffi...
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Wenjun Zhao, Miaolei Deng, Cong Cheng and Dexian Zhang
Object tracking is aimed at tracking a given target that is only specified in the first frame. Due to the rapid movement and the interference of cluttered backgrounds, object tracking is a significant challenging issue in computer vision. This research p...
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Nehal K. Ahmed, Elsayed E. Hemayed and Magda B. Fayek
In this paper, we propose an unconstrained face verification approach that is dependent on Hybrid Siamese architecture under limited resources. The general face verification trend suggests that larger training datasets and/or complex architectures lead t...
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Yilei Wang, Yuelin Hu, Wenliang Xu and Futai Zou
Dark web vendor identification can be seen as an authorship aliasing problem, aiming to determine whether different accounts on different markets belong to the same real-world vendor, in order to locate cybercriminals involved in dark web market transact...
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Allam Jaya Prakash, Kiran Kumar Patro, Saunak Samantray, Pawel Plawiak and Mohamed Hammad
An electrocardiogram (ECG) is a unique representation of a person?s identity, similar to fingerprints, and its rhythm and shape are completely different from person to person. Cloning and tampering with ECG-based biometric systems are very difficult. So,...
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Gergely Márk Csányi, Renátó Vági, Andrea Megyeri, Anna Fülöp , Dániel Nagy, János Pál Vadász and István Üveges
Few-shot learning is a deep learning subfield that is the focus of research nowadays. This paper addresses the research question of whether a triplet-trained Siamese network, initially designed for multi-class classification, can effectively handle multi...
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Kyriakos Apostolidis, Christos Kokkotis, Evangelos Karakasis, Evangeli Karampina, Serafeim Moustakidis, Dimitrios Menychtas, Georgios Giarmatzis, Dimitrios Tsiptsios, Konstantinos Vadikolias and Nikolaos Aggelousis
Stroke remains a predominant cause of mortality and disability worldwide. The endeavor to diagnose stroke through biomechanical time-series data coupled with Artificial Intelligence (AI) poses a formidable challenge, especially amidst constrained partici...
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Dongyeob Han, Suk Bae Lee, Mihwa Song and Jun Sang Cho
Currently, unmanned aerial vehicles are increasingly being used in various construction projects such as housing developments, road construction, and bridge maintenance. If a drone is used at a road construction site, elevation information and orthoimage...
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Jiyeon Kim and Youngok Kang
With the rise of social media platforms, tourists tend to share their experiences in the form of texts, photos, and videos on social media. These user-generated contents (UGC) play an important role in shaping tourism destination images (TDI) and directl...
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Wenmin Yao, Tong Chu, Wenlong Tang, Jingyu Wang, Xin Cao, Fengjun Zhao, Kang Li, Guohua Geng and Mingquan Zhou
As one of China's most precious cultural relics, the excavation and protection of the Terracotta Warriors pose significant challenges to archaeologists. A fairly common situation in the excavation is that the Terracotta Warriors are mostly found in the f...
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Ahmed Samy Nassar, Sébastien Lefèvre and Jan Dirk Wegner
We present a new approach for matching urban object instances across multiple ground-level images for the ultimate goal of city-scale mapping of objects with high positioning accuracy. What makes this task challenging is the strong change in view-point, ...
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Feiyu Jia, Ali Jebelli, Yongsheng Ma and Rafiq Ahmad
Smart manufacturing uses robots and artificial intelligence techniques to minimize human interventions in manufacturing activities. Inspection of the machine? working status is critical in manufacturing processes, ensuring that machines work correctly wi...
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Loris Nanni, Sheryl Brahnam, Alessandra Lumini and Gianluca Maguolo
The classifier system proposed in this work combines the dissimilarity spaces produced by a set of Siamese neural networks (SNNs) designed using four different backbones with different clustering techniques for training SVMs for automated animal audio cl...
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