Functions to train classifiers using AdaBoost algorithm. More...
#include "clsfy_adaboost_sorted_builder.h"
#include "clsfy_simple_adaboost.h"
#include "clsfy_builder_1d.h"
#include <vcl_iostream.h>
#include <vcl_cstdlib.h>
#include <vcl_cmath.h>
#include <vcl_ctime.h>
#include <vcl_algorithm.h>
#include <vcl_cassert.h>
#include <vbl/vbl_triple.h>
#include <mbl/mbl_file_data_collector.h>
#include <mbl/mbl_data_collector_list.h>
Go to the source code of this file.
Functions to train classifiers using AdaBoost algorithm.
Functions to train classifiers using AdaBoost algorithm AdaBoost combines a set of (usually simple, weak) classifiers into a more powerful single classifier. Essentially it selects the classifiers one at a time, choosing the best at each step. The classifiers are trained to distinguish the examples mis-classified by the currently selected classifiers.
Definition in file clsfy_adaboost_sorted_builder.cxx.