Automated parts-based model for recognizing human–object interactions from aerial imagery with fully convolutional network
Advanced aerial images have led to the development of improved human–object interaction
recognition (HOI) methods for usage in surveillance, security, and public monitoring …
recognition (HOI) methods for usage in surveillance, security, and public monitoring …
Supertexton-based segmentation in early Drosophila oogenesis
Studies concerning gene expression patterns of Drosophila are of paramount importance in
basic biological research because many genes are conserved across organisms providing …
basic biological research because many genes are conserved across organisms providing …
Population density estimation using textons
In this paper we propose an efficient method for population density estimation using textons
and k nearest neighbor classifier (k-NN). Leung Malik (LM) filter bank is used for texture …
and k nearest neighbor classifier (k-NN). Leung Malik (LM) filter bank is used for texture …
Analisis Segmentasi Kerusakan Jaringan Histologi Ginjal Berbasis Model Fitur GLCM
Z Arifin, LA Muharom… - … FOR EDUCATORS AND …, 2022 - ejournal-binainsani.ac.id
Kongesti merupakan salah satu jenis kerusakan yang terjadi pada jaringan histologi ginjal,
dimana terdapat darah secara berlebihan didalam pembuluh darah daerah tertentu. Pada …
dimana terdapat darah secara berlebihan didalam pembuluh darah daerah tertentu. Pada …
[PDF][PDF] Automatic 3D Posture Generation and Part Annotations for Deep Understanding of Human Interactions
M Waheed - 2022 - researchgate.net
(HOIR) show promising results, most of these challenges pertain, making these systems less
effective in real-world scenarios. This research, therefore, proposes a robust and effective …
effective in real-world scenarios. This research, therefore, proposes a robust and effective …
[PDF][PDF] A. Alsuhibany, S.; Jalal, A.; Park, J. Automated Parts-Based Model for Recognizing Human–Object Interactions from Aerial Imagery with Fully Convolutional …
Advanced aerial images have led to the development of improved human–object interaction
recognition (HOI) methods for usage in surveillance, security, and public monitoring …
recognition (HOI) methods for usage in surveillance, security, and public monitoring …
Текстурная сегментация изображений на основе оценки плотности контурных элементов и поглощения мелких областей
ХМ Альзаки, ВЮ Цветков - … университета информатики и …, 2017 - cyberleninka.ru
Текстурная сегментация изображений на основе оценки плотности контурных элементов
и поглощения мелких областей – тема научной статьи по компьютерным и …
и поглощения мелких областей – тема научной статьи по компьютерным и …
Texture image segmentation based on estimation of density of contour elements and absorption of small regions
HM Alzakki, VY Tsviatkou - Doklady BGUIR, 2017 - doklady.bsuir.by
ТЕКСТУРНАЯ СЕГМЕНТАЦИЯ ИЗОБРАЖЕНИЙ НА ОСНОВЕ ОЦЕНКИ ПЛОТНОСТИ КОНТУ
Page 1 46 ДОКЛАДЫ БГУИР DOKLADY BGUIR 2017, № 5 (107) 2017, NO. 5 (107) УДК 621.391 …
Page 1 46 ДОКЛАДЫ БГУИР DOKLADY BGUIR 2017, № 5 (107) 2017, NO. 5 (107) УДК 621.391 …
Machine learning-based classification of breast densities
AHA Owaidh - 2014 - search.proquest.com
Mammographic breast density describes the amount of fibro glandular tissue in the breast.
Dense breast has more tissue than fat. The breast density is one of the strongest indicators …
Dense breast has more tissue than fat. The breast density is one of the strongest indicators …