Ara
Toplam kayıt 7, listelenen: 1-7
Video-based emotion recognition in the wild
(Academic Press Ltd-Elsevier Science Ltd, 2019)
[No Abstract Available]
Hierarchical Two-Level Modelling of Emotional States in Spoken Dialog Systems
(IEEE, 2019)
Emotions occur in complex social interactions, and thus processing of isolated utterances may not be sufficient to grasp the nature of underlying emotional states. Dialog speech provides useful information about context ...
Predicting CO and NOx emissions from gas turbines: novel data and a benchmark PEMS
(Tubitak Scientific & Technical Research Council Turkey, 2019)
Predictive emission monitoring systems (PEMS) are important tools for validation and backing up of costly continuous emission monitoring systems used in gas-turbine-based power plants. Their implementation relies on the ...
Movie Emotion Estimation with Multimodal Fusion and Synthetic Data Generation
(IEEE, 2019)
In this work, we propose a method for automatic emotion recognition from movie clips. This problem has applications in indexing and retrieval of large movie and video collections, summarization of visual content, selection ...
Oak Leaf Classification: An Analysis of Features and Classifiers
(IEEE, 2019)
Automatic classification of trees from leaves is a popular computer vision/machine learning task and has important applications in monitoring of forest wealth. While the final aim is preparing an application, which is ...
Modeling short-term and long-term dependencies of the speech signal for paralinguistic emotion classification
(St. Petersburg Institute for Informatics and Automation of the Russian Academy of Sciences, 2019)
Recently, Speech Emotion Recognition (SER) has become an important research topic of affective computing. It is a difficult problem, where some of the greatest challenges lie in the feature selection and representation ...
Predicting depression and emotions in the cross-roads of cultures, para-linguistics, and non-linguistics
(Association for Computing Machinery, Inc, 2019)
Cross-language, cross-cultural emotion recognition and accurate prediction of affective disorders are two of the major challenges in affective computing today. In this work, we compare several systems for Detecting Depression ...