Document-Image Related Visual Sensors and Machine Learning Techniques

• Övriga skapare: Kyamakya, Kyandoghere (Utgivare, redaktör, sammanställare), Al-Machot, Fadi (Utgivare, redaktör, sammanställare), Mosa, Ahmad Haj (Utgivare, redaktör, sammanställare), Chedjou, Jean Chamberlain (Utgivare, redaktör, sammanställare)
• Materialtyp: Elektronisk Bokavsnitt
• Språk: engelska
• Publicerad: Basel MDPI - Multidisciplinary Digital Publishing Institute 2023
• Ämnen: Research & information: general; Mathematics & science; feature learning; incomplete multimedia data; fuzzy c-means; variational autoencoder; multispectral imaging; document scanning; portable sensor; depth image filtering; point clouds filtering; Kinect v2; depth resolution; close range; hand pose; image binarization; optical character recognition; document images; local thresholding; image pre-processing; natural images; scene text recognition; visual sensor; text position correction; encoder-decoder network; chart recognition; deep learning; visualization; classification; detection; perspective correction; house architecture type classification; house type classification; convolutional neural networks; document classification; feature selection; data augmentation; imbalanced dataset; scene text detection; multiple scales; n/a
• Länkar: DOAB: download the publication; DOAB: description of the publication