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Concave Learners for Rankboost

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Figure

Figure 1: Consider two decision problems in two dimensions involving three points, y, y′ and y′′,where the first decision problem is to choose between y and y′ and the second problemis to choose between y and y′′
Figure 2: These plots show convergence of training error for 3 values of the heuristic selectionpressure value p
Figure 3: This plot is typical of the convergence behavior of rankboost with MWGR on the FERETdata
Table 1: The best average rank of the correct class on the different data sets for all constituent facerecognition systems.
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