The Scientific World Journal / 2013 / Article / Alg 1

Research Article

Reinforced AdaBoost Learning for Object Detection with Local Pattern Representations

Algorithm 1

Proposed update procedure of a classifier based on a reinforced Adaboost learning.
: Number of positive samples, : Number of negative samples
: LPR of ith positive sample, : LPR of ith negative sample
: labels (+1: positive, −1: negative)
(1) Initialize sample weights
          
(2) For do
 (a) Generate histograms of LPR from positive samples and negative samples
     
     
: indicator function that takes 1 if the argument is true and 0 otherwise
  (b) Compute error rate
       
  (c) Select the best pixel location with the smallest error rate
        
: the maximum number of pixel locations allowed
: the set of pixel locations already chosen before,
  (d) Create a lookup table for the weak classifier of pixel location
       ,
         
  (e) Update the sample weights & Normalization
         ,
        
(3) Obtain pixel classifier of a single pixel location x
          
Constructed strong classifier
         

We are committed to sharing findings related to COVID-19 as quickly as possible. We will be providing unlimited waivers of publication charges for accepted research articles as well as case reports and case series related to COVID-19. Review articles are excluded from this waiver policy. Sign up here as a reviewer to help fast-track new submissions.