2013, Algorithm and Support Vector Machines

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2013

Algorithm

Support Vector Machines

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

Dataconomy

AUGUST 25, 2023

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.

Artificial Intelligence

Artificial Intelligence Artificial Intelligence Machine Learning Machine Learning

Faster R-CNNs

PyImageSearch

NOVEMBER 13, 2023

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.,

Deep Learning

Deep Learning Deep Learning Algorithm Support Vector Machines

Webinars

How to Achieve High-Accuracy Results When Using LLMs

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Data Science Current

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

Faster R-CNNs

Webinars

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