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Titlebook: Data Analytics and Learning; Proceedings of DAL 2 P. Nagabhushan,D. S. Guru,Y. H. Sharath Kumar Conference proceedings 2019 Springer Nature

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發(fā)表于 2025-3-30 11:06:25 | 只看該作者
Features Fusion for Retrieval of Flower Videos,nary Pattern (LBP) and Gray-Level Co-occurrence Matrix (GLCM) as texture features and Scale-Invariant Feature Transform (SIFT) features. For a given query flower video, the system retrieves similar videos from the database using Multi-class Support Vector Machine (MSVM). Euclidean distance is used a
52#
發(fā)表于 2025-3-30 14:43:28 | 只看該作者
https://doi.org/10.1007/978-3-030-89348-4camera-captured image of the device which is then followed by a run-length technique to detect horizontal and vertical lines. The region of interest circumscribing the LCD panel is determined based on the attributes of intersecting horizontal and vertical lines. The extracted display region is prepr
53#
發(fā)表于 2025-3-30 18:23:12 | 只看該作者
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發(fā)表于 2025-3-31 00:14:59 | 只看該作者
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56#
發(fā)表于 2025-3-31 05:39:56 | 只看該作者
https://doi.org/10.1057/978-1-137-54000-3e (GEI) is generated. Next, gradient matrices are obtained based on the neighborhood gradient computational procedures (i.e., horizontal/vertical, opposite, and diagonal pixels). Then, multi-interval features are extracted from these matrices in order to achieve the gait covariate conditions. For th
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發(fā)表于 2025-3-31 12:43:00 | 只看該作者
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