FACIAL EMOTION RECOGNITION USING CONVENTIONAL MACHINE LEARNING AND DEEP LEARNING METHODS: CURRENT ACHIEVEMENTS, ANALYSIS AND REMAINING CHALLENGES

Facial Emotion Recognition Using Conventional Machine Learning and Deep Learning Methods: Current Achievements, Analysis and Remaining Challenges

Facial emotion recognition (FER) is an emerging and significant research area in the pattern recognition domain.In daily life, the role of non-verbal communication is significant, and in overall communication, its involvement is around 55% to 93%.Facial emotion analysis is efficiently used in surveillance videos, expression analysis, gesture recogn

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Examining intra-African tourism: A trade theory perspective

Background: Around the world, domestic and regional travel is considered the backbone of the tourism industry, with as much as 80% of international visitors within the same region, however, various factors permit or deter tourists to move around freely.The arguments of tourism promoting trade and vice versa, Pond Accessories are both valid.Since tr

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Expectation-Maximization via Pretext-Invariant Representations

Contrastive learning methods have been widely adopted in numerous unsupervised and self-supervised visual representation learning methods.Such algorithms aim to maximize the cosine similarity between two positive samples while minimizing that of the negative samples.Recently, Grill et al.propose an algorithm, BYOL, to utilize only positive samples,

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