Showing 1 - 20 results of 82 for search '"silhouette"', query time: 0.05s Refine Results
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    Image dimensionality change based coding of two-dimensional ``silhouette'' images by Jonas Valantinas

    Published 2000-12-01
    “… In this paper we present a new coding scheme for two-dimensional ``silhouette'' images. In order to get higher compression rates, appropriately chosen Hilbert curves are applied to change dimensionality of the images. …”
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    Article
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    Fusing Depth and Silhouette for Scanning Transparent Object with RGB-D Sensor by Yijun Ji, Qing Xia, Zhijiang Zhang

    Published 2017-01-01
    “…Then, based on shape from silhouette technology, we recover the 3D model by visual hull within these noisy regions. …”
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    Growth arrest lines and intra-epiphyseal silhouettes: a case series by Ian W Kennedy, Greg J Irwin, James S Huntley

    Published 2014-01-01
    “…Subsequent imaging shows a further example of femoral intra-epiphyseal arrest silhouette as well as tibia and fibula metaphyseal arrest lines. …”
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    Parkinson's disease screening using a fusion of gait point cloud and silhouette features. by Tee Connie, Timilehin B Aderinola, Jia You Ong, Thian Song Ong, Michael Kah Ong Goh, Bayu Erfianto, Bedy Purnama, Ming De Lim, Nor Izzati Saedon

    Published 2025-01-01
    “…We then perform a binary classification of gait as normal or Parkinsonian using a novel fusion of the gait point cloud and silhouette features, obtaining AUC up to 0.87 and F1-Scores up to 0.82 (precision: 0.85, recall: 0.80).…”
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    Quadcopter localization and health monitoring method based on multiple virtual silhouette sensor integration by Jie Hou, Baolong Guo, Juanjuan Zhu, Cheng Li, Wangpeng He

    Published 2017-07-01
    “…Then, multiple Shadow Projection Tunnels are generated according to the extracted silhouette information and corresponding light source positions. …”
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    Risk Assessment of Dyslipidemias, Hyperglycemia, Hyperuricemia, and Hypertension Utilizing Self-Reported Body Silhouettes by Ruben Blachman-Braun, Juan O. Talavera, Marcela Pérez-Rodríguez, Ivonne Roy-García, Rodolfo Rivas-Ruiz, Gerardo Huitrón-Bravo, Jorge Salmerón

    Published 2023-01-01
    “…Self-reported body silhouette is an anthropometric instrument that has been utilized as a screening tool for underweight, overweight, obesity, and other abnormal anthropometric variables. …”
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    Faults Detection for Photovoltaic Field Based on K-Means, Elbow, and Average Silhouette Techniques through the Segmentation of a Thermal Image by Abdelilah Et-taleby, Mohammed Boussetta, Mohamed Benslimane

    Published 2020-01-01
    “…The clustering quality depends on the number of clusters chosen; hence, the elbow, the average silhouette, and NbClust R package methods are used to find the optimal number K. …”
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    "[T]he rising silhouette of the city" : une poétique des choses urbaines dans "Coming, Aphrodite !" et "The Diamond Mine" de Willa Cather by Céline Manresa

    Published 2009-12-01
    “…Elaborating an analogy between the partially veiled and yet carnal silhouettes of the heroines and the hazy yet concrete contours of the city, Cather’s writing moves from a pictorial to a sculptural dimension. …”
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    Gait Correlation Analysis Based Human Identification by Jinyan Chen

    Published 2014-01-01
    “…By moving every pixel in the silhouette image along these three dimensions, we can get a new silhouette. …”
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    Comparative Study of Earthquake Clustering in Indonesia Using K-Medoids, K-Means, DBSCAN, Fuzzy C-Means and K-AP Algorithms by Nurfidah Dwitiyanti, Siti Ayu Kumala, Shinta Dwi Handayani

    Published 2024-12-01
    “…K-Medoids closely followed with a Silhouette Score of 0.3158 and Cluster Purity of 0.7190. …”
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    Segmentasi Pelanggan Majalah pada Situs Web E-Commerce dengan K-Means++ dan Metode RFM by Andrew Lomaksan Manuel Tampubolon, Thio Marta Elisa Yuridis Butar Butar, Siti Rochimah

    Published 2024-12-01
    “…Penelitian ini menerapkan metode Recency, Frequency, and Monetary (RFM) yang dipadukan dengan algoritma clustering K-Means++ untuk melakukan segmentasi pelanggan. Silhouette score menjadi indikator pemilihan nilai k yang paling optimal dalam menentukan jumlah cluster. …”
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    Penerapan Metode K-Medoids untuk Pengelompokan Mahasiswa Berpotensi Drop Out by Syamsul Bahri, Dwi Marisa Midyanti

    Published 2023-02-01
    “…Pengukuran hasil K-Medoids menggunakan Silhouette Coefficient yang berfungsi untuk mengevaluasi jarak kedekatan antar data dalam satu cluster. …”
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