March 2024
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6 Reads
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3 Citations
Lecture Notes in Electrical Engineering
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... The study in [40] combines IR and vision and employs an SVM classifier to classify 10 types of materials where the achieved is 73.4%. Unlike artificial neural networks (ANNs) which model complex relationships between inputs and outputs through layers of interconnected nodes [41]- [44], SVM finds the optimal separating hyperplane for classification [45], [46]. A recent survey in [47] has found that both SVM and ANN outperform other machine learning methods in material classification tasks [47]. ...
- Citing Chapter
March 2024
Lecture Notes in Electrical Engineering