4
votes
why am I getting worst results when using CNN for feature extraction and SVM for classification
There is no one method that always works best. (Google the "No Free Lunch" theorem.)
That means that, conversely, different tools work best in different situations.
And that of course also ...
- 131k
2
votes
Does SVM suffer from curse of high dimensionality? If no, Why?
The reason that the support vector machine is somewhat resistant to the curse of dimensionality is that it is an approximate implementation of a bound on generalisation performance that is independent ...
- 56.2k
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