Emotion Recognition using a Multi-view learning method
نویسندگان
چکیده
منابع مشابه
Multi-view Recognition Using Weighted View Selection
In this paper, we present an algorithm for multi-view recognition in a distributed camera setting that learns which viewpoints are most discriminative for particular instances of ambiguity. Our method is built on top of 2D recognition algorithms and casts view selection as the problem of optimizing kernel weights in multiple kernel learning. The main contribution is a locality-sensitive meta-tr...
متن کاملImproving Emotion Recognition with a Learning Multi-agent system
In Human-Computer Interaction Machine recognition of human emotional state is very important. Individual emotions play a crucial role during the interaction. Identifying person’s emotion state and providing personalized feedback is very difficult. We propose a novel and yet effective system to recognize human emotional state using learning Multi-agent system. In our system, the feature vectors ...
متن کاملEmotion Recognition Using Multimodal Deep Learning
To enhance the performance of affective models and reduce the cost of acquiring physiological signals for real-world applications, we adopt multimodal deep learning approach to construct affective models with SEED and DEAP datasets to recognize different kinds of emotions. We demonstrate that high level representation features extracted by the Bimodal Deep AutoEncoder (BDAE) are effective for e...
متن کاملSpoken Emotion Recognition Using Deep Learning
Spoken emotion recognition is a multidisciplinary research area that has received increasing attention over the last few years. In this paper, restricted Boltzmann machines and deep belief networks are used to classify emotions in speech. The motivation lies in the recent success reported using these alternative techniques in speech processing and speech recognition. This classifier is compared...
متن کاملFacial Emotion Recognition using Deep Learning
Facial emotion recognition is one of the most important cognitive functions that our brain performs quite efficiently. State of the art facial emotion recognition techniques are mostly performance driven and do not consider the cognitive relevance of the model. This project is an attempt to look at the task of emotion recognition using deep belief networks which is cognitively very appealing an...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Zambia ICT Journal
سال: 2020
ISSN: 2616-2156
DOI: 10.33260/zictjournal.v4i1.99