Conjugate point classification with application to Chebyshev systems by A. B. Németh

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Conjugate point classification with application to Chebyshev systems by A. B. Németh

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Signal-based feature extraction for makhraj emission point classification by Nurul Wahidah, Arshad, Mohd Zamri, Ibrahim, Rohana, Abdul Karim, Yasmin, Abdul Wahab, Nor Farizan, Zakaria, Tuan Sidek, Tuan Muda

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AIRBORNE LIDAR POINTS CLASSIFICATION BASED ON TENSOR SPARSE REPRESENTATION by N. Li, N. Li, N. Pfeifer, C. Liu

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MOSAICING FIDELITY GEOMETRICAL ASSESSMENT BASED ON SURF POINT CLASSIFICATION by R. Giudici, L. Courtrai, S. Lefevre

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A geometrical approach to conjugate point classification for linear differential equations by A.B. Németh

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A geometrical approach to conjugate point classification for linear differential equations by A.B. Németh

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STRONG AND WEAK LIMIT-POINT CLASSIFICATION OF SECOND-ORDER DIFFERENTIAL EXPRESSIONS by Everitt, W, Giertz, M, Mcleod, J

Semantic segmentation guided feature point classification and seam fusion for image stitching by Huafeng Huang, Fei Chen, Hang Cheng, Liyao Li, Meiqing Wang

“…Therefore, this paper proposes an image stitching algorithm based on semantic segmentation to guide feature point classification and seam fusion. First, the images are recognized by a cascade semantic segmentation network, and the image feature points are classified. …”
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Symmetry-Based Approach to Superconducting Nodes: Unification of Compatibility Conditions and Gapless Point Classifications by Seishiro Ono, Ken Shiozaki

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Unmanned Aerial Vehicle Flight Point Classification Algorithm Based on Symmetric Big Data by Jeonghoon Kwak, Jong Hyuk Park, Yunsick Sung

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Revised progressive morphological method for ground point classification of airborne LiDAR data by Mohd. Salleha, Mohd. Radhie, Abd. Rahman, Muhammad Zulkarnain, Ismail, Zamri, Abdul Khanan, Mohd. Faisal, Asmadi, Mohd. Asraff

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POINTS CLASSIFICATION BY A SEQUENTIAL HIGHER – ORDER MOMENTS STATISTICAL ANALYSIS OF LIDAR DATA by F. Crosilla, D. Macorig, I. Sebastianutti, D. Visintini

“…The paper deals with a new sequential procedure to perform unsupervised LIDAR points classification by iteratively studying skewness and kurtosis for elevation and intensity point distribution values. …”
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Indoor Visible Light Positioning System Based on Point Classification Using Artificial Intelligence Algorithms by Qianqian Long, Junyi Zhang, Lu Cao, Wenrui Wang

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A Study of Eye-Tracking Gaze Point Classification and Application Based on Conditional Random Field by Kemeng Bai, Jianzhong Wang, Hongfeng Wang, Xinlin Chen

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MESH MODELLING OF 3D POINT CLOUD FROM UAV IMAGES BY POINT CLASSIFICATION AND GEOMETRIC CONSTRAINTS by S. Kim, H. G. Kim, T. Kim

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A model to predict the function of hypothetical proteins through a nine-point classification scoring schema by Johny Ijaq, Girik Malik, Anuj Kumar, Partha Sarathi Das, Narendra Meena, Neeraja Bethi, Vijayaraghava Seshadri Sundararajan, Prashanth Suravajhala

“…Conclusion With the introduction of three new classification features, the performance of the nine-point classification scoring schema has an improved accuracy to functionally annotate the HPs.…”
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Analysis of UAS-LiDAR Ground Points Classification in Agricultural Fields Using Traditional Algorithms and PointCNN by Nadeem Fareed, Joao Paulo Flores, Anup Kumar Das

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3D Mesh Pre-Processing Method Based on Feature Point Classification and Anisotropic Vertex Denoising Considering Scene Structure Characteristics by Yawen Liu, Bingxuan Guo, Xiongwu Xiao, Wei Qiu

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Impact of Calibrating Filtering Algorithms on the Quality of LiDAR-Derived DTM and on Forest Attribute Estimation through Area-Based Approach by Diogo N. Cosenza, Luísa Gomes Pereira, Juan Guerra-Hernández, Adrián Pascual, Paula Soares, Margarida Tomé

Subjects: “…point classification…”
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