Visual Odometry through Appearance- and Feature-Based Method with Omnidirectional Images by David Valiente García, Lorenzo Fernández Rojo, Arturo Gil Aparicio, Luis Payá Castelló, Oscar Reinoso García

“…A visual odometry provides an essential information for trajectory estimation in problems such as Localization and SLAM (Simultaneous Localization and Mapping). …”
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Pedestrian Re-Identification Based on Fine-Grained Feature Learning and Fusion by Anming Chen, Weiqiang Liu

“…Firstly, the multimodal feature encoder is used to extract the multimodal features from the visual appearance and gait information views, and then fine-grained tokens are learned and denoised from these features. …”
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Investigating feature extraction by SIFT methods for prostate cancer early detection by Shadan Mohammed Jihad, Ali A. Alsaud, Firas H. Almukhtar, Shahab Kareem, Raghad Zuhair Yousif

“…This study, therefore, highlights the potential for use in the early detection of prostate cancer with advanced feature extraction methods, such as SIFT, and points toward a very promising direction of further research on applying computer vision techniques to problems in medical diagnostic applications. …”
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Deep Feature-Based Hyperspectral Object Tracking: An Experimental Survey and Outlook by Yuchao Wang, Xu Li, Xinyan Yang, Fuyuan Ge, Baoguo Wei, Lixin Li, Shigang Yue

“…Therefore, it is necessary to conduct a thorough review of current trackers and unresolved problems in the HOT field. In this survey, we systematically classify and conduct a comprehensive analysis of 13 state-of-the-art deep feature-based hyperspectral trackers. …”
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Improved Quaternion Discriminant Analysis for Feature Extraction and Classification of Hyperspectral Image by Xinpeng Wang, Bingo Wing-Kuen Ling, Long Yu, Shaopeng Liu, Jiandong Zhao, Weichao Kuang

“…To solve these problems, first, a QDA method based on stable quaternion cos-sin decomposition (QDASG) is proposed to solve the small sample problem. …”
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Feature Coding and Graph via Transformer: Different Granularities Classification for Aircraft by Jianghao Rao, Senlin Qin, Zongyan An, Jianlin Zhang, Qiliang Bao, Zhenming Peng

“…On one hand, fine-grained recognition focuses on exploring and studying such problems. On the other hand, aircraft under different sub-categories and granularities put forward higher requirements for feature representation to classify, which led us to rethink the in-depth application of features. …”
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Multi-Scale Feature Fusion Model for Bridge Appearance Defect Detection by Rong Pang, Yan Yang, Aiguo Huang, Yan Liu, Peng Zhang, Guangwu Tang

“…To deal with these issues, this paper proposes a novel Multi-scale Feature Fusion (MFF) model for bridge appearance disease detection. …”
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Consensus Guided Multi-View Unsupervised Feature Selection with Hybrid Regularization by Yifan Shi, Haixin Zeng, Xinrong Gong, Lei Cai, Wenjie Xiang, Qi Lin, Huijie Zheng, Jianqing Zhu

“…To address these problems, this paper proposes a Consensus Guided Multi-view Unsupervised Feature Selection with Hybrid Regularization (CGMvFS). …”
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FRANet: A Feature Refinement Attention Network for SAR Image Denoising by Shuaiqi Liu, Yu Lei, Qi Hu, Ming Liu, Bing Li, Weiming Hu, Yu-Dong Zhang

“…To address the mentioned problems, we propose a novel feature refinement attention network named FRANet. …”
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Features of Combustion of Water-fuel Emulsions with Different Methods of Introducing Water into the Combustion Zone by Kolbasenko O.V., Dymo B.V., Anastasenko S.M., Shostak O.V.

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Lower Convergence of Minimal Sets in Star-Shaped Vector Optimization Problems by Rong Hu

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A variational formalism for the eigenvalues of fourth order boundary value problems by Adnan A. Hajj

“…An attractive feature of this approach is the technique of enforcing the boundary conditions by the variational functional. …”
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Collocation method for solving fractional reaction–diffusion problem arising in chemistry by Jalil Rashidinia, Arefeh Momeni

“…This method is tested by six numerical problems to demonstrate the capability of the suggested new technique. …”
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A survey of face recognition techniques under occlusion by Dan Zeng, Raymond Veldhuis, Luuk Spreeuwers

“…Second the authors analyse how the existing face recognition methods cope with the occlusion problem and classify them into three categories, which are given as: 1) occlusion robust feature extraction approaches, 2) occlusion aware face recognition approaches, and 3) occlusion recovery based face recognition approaches. …”
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The Problem of Digital Disability in E-Municipality: A Study on Metropolitan Municipalities by Fatma Akar, Hasan Tutar

“…The distinctive feature of the digital society is that it can practically use information and communication technologies in many areas of life, and the digital literacy rate is relatively high. …”
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Morphology of Denisovan molars: problems of taxon identification in the context of genetic data by Buzhilova A.P.

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The Ecology Features of Tick-Borne Encephalitis Virus of European Subtype in Siberia by I. V. Kozlova, S. E. Tkachev, Yu. S. Savinova, T. V. Demina, E. K. Doroshchenko, O. V. Lisak, Yu. P. Dzhioev, O. V. Suntsova, M. M. Verkhozina, A. I. Paramonov, V. I. Zlobin, N. V. Tikunova, D. . Ruzek

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Open vehicle routing problem with moving shipments at the cross-docking terminal by S. R. Gnanapragasam, W. B. Daundasekera

“…In this study, one of the internal operations at the Cross-docking Terminal (CDT), moving shipments (MS) from receiving doors to shipping doors of CDT is integrated with Open Vehicle Routing Problem (OVRP) and the problem is indicated here as OVRPCD-MS. …”
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Unified Planning: Modeling, manipulating and solving AI planning problems in Python by Andrea Micheli, Arthur Bit-Monnot, Gabriele Röger, Enrico Scala, Alessandro Valentini, Luca Framba, Alberto Rovetta, Alessandro Trapasso, Luigi Bonassi, Alfonso Emilio Gerevini, Luca Iocchi, Felix Ingrand, Uwe Köckemann, Fabio Patrizi, Alessandro Saetti, Ivan Serina, Sebastian Stock

“…Once a problem is modeled, UP can automatically find engines that can solve it, based on the features used in the model. …”
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Errors-in-variables and validation problems in reaction norm predictions for wild populations by Rolf Ergon

“…A second important feature of such phenotypic response problems is that the environmental inputs must be given appropriate but largely unknown reference values. …”
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