Discuss techniques for combining multiple anomaly detection techniques to improve the identification of anomalous objects. Consider both supervised and unsupervised cases.
What will be an ideal response?
In the supervised case, we could use ensemble classification techniques. In
these approaches, the classification of an object is determined by combining
the classifications of a number of classifiers, e.g., by voting. In the unsuper-
vised approach, a voting approach could also be used. Note that this assumes
that we have a binary assignment of an object as an anomaly. If we have
anomaly scores, then the scores could be combined in some manner, e.g., an
average or minimum, to yield an overall score.
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A. Capture at least a few seconds of extra footage at the beginning and end of the clip segment than you expect you will need. B. Capture at least a few seconds of extra footage at the beginning of the clip segment than you expect you will need, but no extra seconds at the end of the clip. C. Capture at least a few seconds of extra footage at the end of the clip segment than you expect you will need, but no extra seconds at the beginning of the clip. D. Capture only the clip segment you expect you will need, with no extra seconds at the beginning or end of the clip.
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Answer the following statement true (T) or false (F)