Remove 2013 Remove Artificial Intelligence Remove Support Vector Machines
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In-depth analysis of artificial intelligence techniques for emotion detection: State-of-the-art, approaches, and perspectives

Dataconomy

The advancement of artificial intelligence provides new opportunities to automate these processes by leveraging multimedia data, such as voice, body language, and facial expressions. Emotions can be expressed through various acoustic and prosodic features present in the vocal signal.

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Faster R-CNNs

PyImageSearch

Step #4: Classify each proposal using the extracted features with a Support Vector Machine (SVM). Remark: A review of the Selective Search algorithm is outside the scope of this series, so we recommend treating it as a “black box” that intelligently proposes ROI locations to you. Object detection is no different.