Multi-media Image Classification
7 important questions on Multi-media Image Classification
Core Machine Learning Components
- Determines the task: classification, regression, etc.
- Color histogram, Bag-of-Words
- SVM, k-NN, Neural Networks, Decision Tree
- Classification error, Ranking error, Average precision
What is attribute-based classification?
Attribute-based classification algorithm:
- X, Y, Z
- Aye-ayes have properties, X, and Y, but not Z
- P(X|img) = 0.8
- P(Y|img) = 0.3
- P(Z|img) = 0.4
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What is k-Nearest Neighbor Classifier?
What is the difference/similarity between k-NN and NCM?
GPS is geographically unambiguous (obvious)
IM2GPS approach/algorithm:
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