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Image dimensionality change based coding of two-dimensional ``silhouette'' images
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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Fusing Depth and Silhouette for Scanning Transparent Object with RGB-D Sensor
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
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.
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
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
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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Ombres et transparences, de Vinci aux calques numériques
Published 2012-01-01Subjects: Get full text
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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
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
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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« Je m’en souviens comme si c’était hier : sur l’écran, la silhouette de l’aigle allemand… »
Published 2020-09-01Get full text
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Combined application of hierarchical and non-hierarchical clustering methods in order to segment the customers in one trade chain
Published 2019-01-01Subjects: Get full text
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Investigation and analysis of turbulence and fluctuations of rainfall regions of Iran
Published 2021-03-01Subjects: Get full text
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A Hybrid Approach for Sports Activity Recognition Using Key Body Descriptors and Hybrid Deep Learning Classifier
Published 2025-01-01Subjects: Get full text
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Gait Correlation Analysis Based Human Identification
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
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
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
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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