Dario WurmD edited section_Reviewer_Comments_for_Authors__.tex  over 8 years ago

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4. Are Eq. (2) and (3) an extension of the original CMC by the authors to evaluate entire re-id systems? Or is there any existing work that uses it? I’m not very much sure how \#ord(i) is defined if there are false positives.  \end{quote}  \textit{Eq. (2) and (3) are the original CMC when there are false positives and missed detections respectively. We wrote them down to prove how the original CMC has all its values reduced when there are false positives (Eq. 2), and to prove how the original CMC does not change on average when samples go missing (Eq. 3).}  ord(i) \textit{ord(i)  is defined as the number of correct re-identifications at index i in the ordered list of all matches for a probe samplea gainst sample against  all classes in the gallery. When Since the re-identification classifier deals with each sample independently, when  there are false positives, positives  the number of correct re-identifications is not affected. The re-identification classifier deals with each sample independently There simply are a greater number on incorrect re-identifications.}  \