COMPUTER SCIENCE AND ENGINEERING
MACHINE LEARNING
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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Recognizing Anomalies
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Prediction
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Generating Patterns
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Recognition Patterns
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Detailed explanation-1: -Multiclass Support Vector Machines (SVM) are supervised learning algorithms that analyze and classify data, and they perform well when classifying human facial expressions.
Detailed explanation-2: -Identify the kind of learning algorithm for “facial identities for facial expressions”. Answer-B) For facial identities and facial expression, “recognition patterns” is used.
Detailed explanation-3: -This particular example of face detection is supervised. For eg, you’ll show several images of faces and not-faces and algorithm will learn and be able to predict whether the image is a face or not. This particular example of face detection is supervised.
Detailed explanation-4: -Due to their unique work principle, convolutional neural networks (CNN) yield the best results with deep learning image recognition.
Detailed explanation-5: -The fuzzy algorithms are quite complex in nature yet produce the best pattern recognition results.