# Contents

## PURPOSE

LOTAA - Learning object templates by active basis model and adaboost

## SYNOPSIS

This is a script file.

## DESCRIPTION

     LOTAA - Learning object templates by active basis model and adaboost

     LOTAA main functions.
       StartFromHere             - The entry point of this project. You can customize the procecure by modifying this function.
       SetTemplateParameters     - Specify parameters of templates for each object category.
       LearnActiveBasisTemplate - Learn an active basis template for a given category.
       LearnAdaboostTemplate    - Learn an adaboost template for a given category.
       GenerateManual           - Generate html manual for the matlab code.
       GenerateFigureCaption    - Generate html and latex documentation for the experimental results.

     Sub directories containing code
       common/         - The common utilities used by both learning methods.
       adaboost/       - The adaboost learner.
       activebasis/    - The shared sketch algorithm for active basis model.
       m2html/         - An imported matlab documentation project.

     Other sub directories:
       image/          - The image data organized by directories (e.g. cat).
       result/         - Learned templates by active basis model and adaboost. The templates are saved in .mat files
                           in directories named by object categories.
       document/       - Matlab code manual in html. Figures and captions in html and latex.

     How to conduct experiments:
       - To perform experiments on the current image categories,  run "StartFromHere".
       - To modify or append experimental parameters, open "SetTemplateParameters".
       For each category, you can specify or modify 1) the template size,
       2) number of Gabor elements in the active basis / adaboost template,
       and 3) scale of Gabor elements.
       - To append new data, add new directories of images into "image/".

       Copyright (C) 2009 Zhangzhang Si (zzsi@stat.ucla.edu), Hui Tang, Ying Nian Wu in UCLA Stat. Dept.
       $Revision: 0.0 $Date: 2009/10/27 14:30:00 $

## CROSS-REFERENCE INFORMATION

This function calls:

This function is called by: