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Deep Learning for Facial Informatics
| Deep Learning for Facial Informatics |
| Autore | Hsu Gee-Sern Jison |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 online resource (102 p.) |
| Soggetto topico | History of engineering and technology |
| Soggetto non controllato |
2D attribute maps
3D geometry data age estimation coarse-to-fine convolutional neural network convolutional neural network (CNN) convolutional neural networks deep learning deep metric learning depth emotion classification external knowledge face liveness detection facial images processing facial key point detection facial landmarking fused CNN feature generative adversarial network image classification merging networks multi-task learning RGB thermal image |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557721303321 |
Hsu Gee-Sern Jison
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Emotion and Stress Recognition Related Sensors and Machine Learning Technologies
| Emotion and Stress Recognition Related Sensors and Machine Learning Technologies |
| Autore | Kyamakya Kyandoghere |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 online resource (550 p.) |
| Soggetto topico | Technology: general issues |
| Soggetto non controllato |
activity recognition
affective computing affective corpus aging adults arousal arousal detection artificial intelligence automatic facial emotion recognition auxiliary loss behavioral biometrical systems benchmarking boredom center of pressure class center classification cognitive load computer science convolutional neural network convolutional neural networks correlation statistics data transformation dataset deep convolutional neural network deep learning deep neural network dilated convolutions driving stress EEG elderly caring electrocardiogram electrodermal activity electrodermal activity (EDA) electroencephalography emotion emotion classification emotion elicitation emotion monitoring emotion recognition emotion representation expert evaluation face landmark detection facial detection facial emotion recognition facial expression recognition facial landmarks feature extraction feature selection flight simulation frustration fully convolutional DenseNets GSR head-mounted display homography matrix human-computer interaction in-ear EEG information fusion infrared thermal imaging intensity of emotion recognition interest long short-term memory recurrent neural networks long-term stress machine learning mental stress detection multimodal sensing multimodal sensors musical genres n/a normalization outpatient caring overload pain recognition perceived stress scale physiological sensing physiological signal processing physiological signals psychophysiology quantitative analysis regression respiration road traffic road types sensor sensor data analysis signal analysis signal processing similarity measures skip-connections smart band smart insoles smart shoes socially assistive robot stress stress detection stress recognition stress research stress sensing subject-dependent emotion recognition subject-independent emotion recognition thoracic electrical bioimpedance time series analysis transfer learning underload unobtrusive sensing valence detection Viola-Jones virtual reality wearable sensors weighted loss |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557346003321 |
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Kyamakya Kyandoghere
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Sentiment Analysis for Social Media
| Sentiment Analysis for Social Media |
| Autore | Moreno Antonio |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 online resource (152 p.) |
| Soggetto topico | History of engineering and technology |
| Soggetto non controllato |
affect computing
big data-driven marketing collaborative schemes of sentiment analysis and sentiment systems convolutional neural network cyber-aggression deep learning emotion analysis emotion classification gender classification health insurance hybrid vectorization lexicon construction machine learning medical web forum online review opinion mining provider networks psychographic segmentation racism random forest recommender system review data mining semantic networks sentiment analysis sentiment classification sentiment lexicon sentiment word analysis sentiment-aware word embedding social media social networks text feature representation text mining user preference prediction violence against women violence based on sexual orientation word association |
| ISBN | 3-03928-573-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910404092303321 |
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Moreno Antonio
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| MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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