Remove 2013 Remove Algorithm Remove Support Vector Machines
article thumbnail

In-depth analysis of artificial intelligence techniques for emotion detection: State-of-the-art, approaches, and perspectives

Dataconomy

Machine learning models: Machine learning models, such as support vector machines, recurrent neural networks, and convolutional neural networks, are used to predict emotional states from the acoustic and prosodic features extracted from the voice.

article thumbnail

Faster R-CNNs

PyImageSearch

One of the most popular deep learning-based object detection algorithms is the family of R-CNN algorithms, originally introduced by Girshick et al. Since then, the R-CNN algorithm has gone through numerous iterations, improving the algorithm with each new publication and outperforming traditional object detection algorithms (e.g.,