/usr/share/octave/site/m/vlfeat/toolbox/plotop/vl_det.m is in octave-vlfeat 0.9.17+dfsg0-6+b1.
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1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 | function [missRate, falseAlarm] = vl_det(labels, scores, varargin)
% VL_DET Compute DET curve
% [MISSRATE, FALSEALRAM] = VL_DET(LABELS, SCORES) computes the
% Detection Error Trade-off (DET) curve for the given set LABELS and
% SCORES. The function is a simple wrapper to VL_ROC(LABELS,
% SCORES). In fact, MISSRATE is simply the false positive rate and
% FALSEARALM the false negative rate returned by VL_ROC().
%
% VL_DET(...) without output arguments plots the curves in the
% current axis. Note that the DET curves use logarithmic axis.
%
% VL_DET(..., OPT, ARG, ...) accepts the same options as VL_ROC().
%
% REFERENCES:
% [1] A. Martin, G. Doddington, T. Kamm, M. Ordowski, and
% M. Przybocki. The DET curve in assessment of detection task
% performance. In Proc. Conf. on Speech Communication and Technology,
% 1997.
[tp,tn] = vl_roc(labels, scores, varargin{:}) ;
missRate = 1 - tp ;
falseAlarm = 1 - tn ;
if nargout == 0
cla ;
loglog(falseAlarm,missRate,'linewidth',2) ;
grid on ;
axis square ;
xlabel('false alaram (false positive) rate') ;
ylabel('miss (false negative) rate') ;
title('DET') ;
end
% %conf = vl_argparse(conf, varargin{:}) ;
% for i = 1:2:length(varargin)
% opt = varargin{i} ;
% val = varargin{i+1} ;
% switch lower(opt)
% case 'numnegatives'
% N = val ;
% otherwise
% error('Unknown option %s', opt) ;
% end
% end
% P = sum(labels > 0) ;
% if ~exist('N'), N = sum(labels < 0) ; end
% if N < sum(labels < 0), warning('NumNegatives < number of provided negatives') ; end
% N_=N-sum(labels<0) ;
% [scores, perm] = sort(scores) ;
% disp(sum(labels<0)/N)
% tp = [0 cumsum(labels(fliplr(perm)) > 0)/P 1] ;
% tn = [1 (fliplr(cumsum(labels(perm) < 0))+N_)/N 0] ;
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