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Keywords

• adaptive gradient methods
• Aging
• animal audio
• audio classification
• bagging post-processing
• bounded scheduling method
• BQMP and Haralick global–local feature integration
• Breast cancer
• Classification
• co-saliency
• coal petrography
• colored texture pattern classification
• color–texture feature extraction
• color–texture features
• cutting pieces
• deep learning
• deep neural networks
• defect recognition
• Detection
• digital intraoral radiography
• dissimilarity space
• Economics, finance, business & management
• electro-deposition industry
• ensemble of classifiers
• Faster R-CNN
• feature extraction
• global–local texture classification
• Hair
• hand-designed image descriptors
• histopathology
• hue variance
• Image analysis
• image classification
• image preprocessing
• image resizing
• image segmentation
• Industry & industrial studies
• Information technology industries
• item counting device
• language modeling
• local binary pattern
• local Tchebichef moments (LTM)
• maceral components
• machine vision
• mammogram
• mathematics of colour and texture
• MB-LBP
• Media, information & communication industries
• meta-heuristics
• microscopic
• morphological
• multi-period pattern
• n/a
• omnidirectional images
• optimization
• partial orders
• pattern recognition
• periapical lesions
• period length
• prostate cancer
• Quantitative
• random forest
• rank features
• river scene segmentation
• scale-and-stretch
• scaling
• seam carving
• segmentation
• Siamese network
• skew angle
• skin microrelief
• Stochastic gradient descent
• surface defect detection
• surface reflection
• SVM
• Texture
• texture analysis
• tissue image
• two-level clustering
• video saliency
• visual saliency estimation
• water sorption

Links

DOI: 10.3390/books978-3-0365-1377-5

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