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Research in colour and texture has experienced major changes in the last few years. This book presents some recent advances in the field, specifically in the theory and applications of colour texture analysis. This volume also features benchmarks, comparative evaluations and reviews.

Information technology industries --- Machine vision --- image analysis --- item counting device --- electro-deposition industry --- digital intraoral radiography --- image preprocessing --- periapical lesions --- texture analysis --- prostate cancer --- histopathology --- microscopic --- tissue image --- segmentation --- morphological --- quantitative --- classification --- SVM --- image resizing --- local Tchebichef moments (LTM) --- scaling --- scale-and-stretch --- seam carving --- faster R-CNN --- cutting pieces --- multi-period pattern --- skew angle --- period length --- colored texture pattern classification --- global-local texture classification --- color-texture features --- color-texture feature extraction --- bagging post-processing --- BQMP and Haralick global-local feature integration --- maceral components --- image segmentation --- coal petrography --- random forest --- two-level clustering --- deep neural networks --- adaptive gradient methods --- stochastic gradient descent --- bounded scheduling method --- image classification --- language modeling --- texture --- deep learning --- MB-LBP --- surface defect detection --- feature extraction --- defect recognition --- mammogram --- meta-heuristics --- optimization --- breast cancer --- detection --- skin microrelief --- water sorption --- aging --- hair --- mathematics of colour and texture --- hand-designed image descriptors --- rank features --- partial orders --- river scene segmentation --- local binary pattern --- hue variance --- surface reflection --- audio classification --- dissimilarity space --- siamese network --- ensemble of classifiers --- pattern recognition --- animal audio --- co-saliency --- omnidirectional images --- video saliency --- visual saliency estimation --- Machine vision --- image analysis --- item counting device --- electro-deposition industry --- digital intraoral radiography --- image preprocessing --- periapical lesions --- texture analysis --- prostate cancer --- histopathology --- microscopic --- tissue image --- segmentation --- morphological --- quantitative --- classification --- SVM --- image resizing --- local Tchebichef moments (LTM) --- scaling --- scale-and-stretch --- seam carving --- faster R-CNN --- cutting pieces --- multi-period pattern --- skew angle --- period length --- colored texture pattern classification --- global-local texture classification --- color-texture features --- color-texture feature extraction --- bagging post-processing --- BQMP and Haralick global-local feature integration --- maceral components --- image segmentation --- coal petrography --- random forest --- two-level clustering --- deep neural networks --- adaptive gradient methods --- stochastic gradient descent --- bounded scheduling method --- image classification --- language modeling --- texture --- deep learning --- MB-LBP --- surface defect detection --- feature extraction --- defect recognition --- mammogram --- meta-heuristics --- optimization --- breast cancer --- detection --- skin microrelief --- water sorption --- aging --- hair --- mathematics of colour and texture --- hand-designed image descriptors --- rank features --- partial orders --- river scene segmentation --- local binary pattern --- hue variance --- surface reflection --- audio classification --- dissimilarity space --- siamese network --- ensemble of classifiers --- pattern recognition --- animal audio --- co-saliency --- omnidirectional images --- video saliency --- visual saliency estimation

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Research in colour and texture has experienced major changes in the last few years. This book presents some recent advances in the field, specifically in the theory and applications of colour texture analysis. This volume also features benchmarks, comparative evaluations and reviews.

Machine vision --- image analysis --- item counting device --- electro-deposition industry --- digital intraoral radiography --- image preprocessing --- periapical lesions --- texture analysis --- prostate cancer --- histopathology --- microscopic --- tissue image --- segmentation --- morphological --- quantitative --- classification --- SVM --- image resizing --- local Tchebichef moments (LTM) --- scaling --- scale-and-stretch --- seam carving --- faster R-CNN --- cutting pieces --- multi-period pattern --- skew angle --- period length --- colored texture pattern classification --- global–local texture classification --- color–texture features --- color–texture feature extraction --- bagging post-processing --- BQMP and Haralick global–local feature integration --- maceral components --- image segmentation --- coal petrography --- random forest --- two-level clustering --- deep neural networks --- adaptive gradient methods --- stochastic gradient descent --- bounded scheduling method --- image classification --- language modeling --- texture --- deep learning --- MB-LBP --- surface defect detection --- feature extraction --- defect recognition --- mammogram --- meta-heuristics --- optimization --- breast cancer --- detection --- skin microrelief --- water sorption --- aging --- hair --- mathematics of colour and texture --- hand-designed image descriptors --- rank features --- partial orders --- river scene segmentation --- local binary pattern --- hue variance --- surface reflection --- audio classification --- dissimilarity space --- siamese network --- ensemble of classifiers --- pattern recognition --- animal audio --- co-saliency --- omnidirectional images --- video saliency --- visual saliency estimation --- n/a --- global-local texture classification --- color-texture features --- color-texture feature extraction --- BQMP and Haralick global-local feature integration

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This Special Issue highlights the most recent research being carried out in the NLP field to discuss relative open issues, with a particular focus on both emerging approaches for language learning, understanding, production, and grounding interactively or autonomously from data in cognitive and neural systems, as well as on their potential or real applications in different domains.

tourism big data --- text mining --- NLP --- deep learning --- clinical named entity recognition --- information extraction --- multitask model --- long short-term memory --- conditional random field --- relation extraction --- entity recognition --- long short-term memory network --- multi-turn chatbot --- dialogue context encoding --- WGAN-based response generation --- BERT word embedding --- text summary --- reinforce learning --- FAQ classification --- encoder-decoder neural network --- multi-level word embeddings --- BERT --- bidirectional RNN --- cloze test --- Korean dataset --- machine comprehension --- neural language model --- sentence completion --- primary healthcare --- chief complaint --- virtual medical assistant --- spoken natural language --- disease diagnosis --- medical specialist --- protein–protein interactions --- deep learning (DL) --- convolutional neural networks (CNN) --- bidirectional long short-term memory (bidirectional LSTM) --- dialogue management --- user simulation --- reward shaping --- conversation knowledge --- multi-agent reinforcement learning --- language modeling --- classification --- error probability --- error assessment --- logic error --- neural network --- LSTM --- attention mechanism --- programming education --- neural architecture search --- word ordering --- Korean syntax --- adversarial attack --- adversarial example --- sentiment classification --- dual pointer network --- context-to-entity attention --- text classification --- rule-based --- word embedding --- Doc2vec --- paraphrase identification --- encodings --- R-GCNs --- contextual features --- sentence retrieval --- TF−ISF --- BM25 --- partial match --- sequence similarity --- word to vector --- word embeddings --- antonymy detection --- polarity --- text normalization --- natural language processing --- deep neural networks --- causal encoder --- question classification --- multilingual --- convolutional neural networks --- Natural Language Processing (NLP) --- transfer learning --- open information extraction --- recurrent neural networks --- bilingual translation --- speech-to-text --- LaTeX decompilation --- word representation learning --- word2vec --- sememes --- structural information --- sentiment analysis --- zero-shot learning --- news analysis --- cross-lingual classification --- multilingual transformers --- knowledge base --- commonsense --- sememe prediction --- attention model --- ontologies --- fixing ontologies --- quick fix --- quality metrics --- online social networks --- rumor detection --- Cantonese --- XGA model --- delayed combination --- CNN dictionary --- named entity recognition --- deep learning NER --- bidirectional LSTM CRF --- CoNLL --- OntoNotes --- toxic comments --- neural networks --- n/a --- protein-protein interactions