Search Results - "density-based spatial clustering of applications with noise algorithm"

A comparative analysis of DBSCAN, K-means, and quadratic variation algorithms for automatic identification of swallows from swallowing accelerometry signals by Dudik, Joshua M., Kurosu, Atsuko, Coyle, James L., Sejdić, Ervin

“…: In this paper, we comparatively analyze the density-based spatial clustering of applications with noise algorithm (DBSCAN…”
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Cubic norm and kernel-based bi-directional PCA: toward age-aware facial kinship verification by Dehshibi, Mohammad Mahdi, Shanbehzadeh, Jamshid

“…A recent challenge in computer vision is exploring the cardinality of a relationship among multiple visual entities to answer questions like whether the subjects in a photograph have a kin relationship…”
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