/*
* svrt is the ``Synthetic Visual Reasoning Test'', an image
* generator for evaluating classification performance of machine
* learning systems, humans and primates.
*
* Copyright (c) 2009 Idiap Research Institute, http://www.idiap.ch/
* Written by Francois Fleuret
*
* This file is part of svrt.
*
* svrt is free software: you can redistribute it and/or modify it
* under the terms of the GNU General Public License version 3 as
* published by the Free Software Foundation.
*
* svrt is distributed in the hope that it will be useful, but
* WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
* General Public License for more details.
*
* You should have received a copy of the GNU General Public License
* along with selector. If not, see .
*
*/
#include "misc.h"
#include "tools.h"
#include "fusion_sort.h"
scalar_t robust_sampling(int nb, scalar_t *weights, int nb_to_sample, int *sampled) {
ASSERT(nb > 0);
if(nb == 1) {
for(int k = 0; k < nb_to_sample; k++) sampled[k] = 0;
return weights[0];
} else {
scalar_t *pair_weights = new scalar_t[(nb+1)/2];
for(int k = 0; k < nb/2; k++)
pair_weights[k] = weights[2 * k] + weights[2 * k + 1];
if(nb%2)
pair_weights[(nb+1)/2 - 1] = weights[nb-1];
scalar_t result = robust_sampling((nb+1)/2, pair_weights, nb_to_sample, sampled);
for(int k = 0; k < nb_to_sample; k++) {
int s = sampled[k];
// There is a bit of a trick for the isolated sample in the odd
// case. Since the corresponding pair weight is the same as the
// one sample alone, the test is always true and the isolated
// sample will be taken for sure.
if(drand48() * pair_weights[s] <= weights[2 * s])
sampled[k] = 2 * s;
else
sampled[k] = 2 * s + 1;
}
delete[] pair_weights;
return result;
}
}