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AdaBoost
  • Classification:Numerical Algorithm-Artificial Intelligence - matlab
  • Development Tool:matlab
  • Sise:110 KB
  • Upload time:2012/7/7 12:39:44
  • Uploader:riko12
  • Download Statistics:
Description
Adaboost Classification algorithm in Matlab




File list:
GML_AdaBoost_Matlab_Toolbox_0.3
..............................\@crossvalidation
..............................\................\CatFold.m
..............................\................\crossvalidation.m
..............................\................\GetFold.m
..............................\................\Initialize.asv
..............................\................\Initialize.m
..............................\@stump_w
..............................\........\calc_output.m
..............................\........\do_learn_nu.m
..............................\........\get_threshold_and_dim.m
..............................\........\stump_w.m
..............................\@tree_node_w
..............................\............\calc_output.asv
..............................\............\calc_output.m
..............................\............\do_learn_nu.asv
..............................\............\do_learn_nu.m
..............................\............\get_dim_and_tr.asv
..............................\............\get_dim_and_tr.m
..............................\............\train.asv
..............................\............\train.m
..............................\............\tree_node_w.m
..............................\C++
..............................\...\Example
..............................\...\.......\Example.cpp
..............................\...\.......\Example.dsp
..............................\...\.......\Example.dsw
..............................\...\.......\ReadMe.txt
..............................\...\.......\RealBoost.txt
..............................\...\.......\StdAfx.cpp
..............................\...\.......\StdAfx.h
..............................\...\BoostedCommittee.cpp
..............................\...\BoostedCommittee.h
..............................\...\IWeakHypothesis.h
..............................\...\SPHypothesis.cpp
..............................\...\SPHypothesis.h
..............................\Classify.m
..............................\Diabetes.txt
..............................\Example_1.m
..............................\Example_2.m
..............................\Example_3.m
..............................\GentleAdaBoost.m
..............................\License.txt
..............................\Manual.pdf
..............................\ModestAdaBoost.m
..............................\ReadMe.txt
..............................\RealAdaBoost.m
..............................\TrainAndSave.m
..............................\TranslateToC.m
Related source code
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[AdaBoost classificator] - Simple C++ implementation of Ada boost algorithm.
[A-FaceDetection-Based-on-Frontal-Inv...] - Face detection and tracking is important for auto-stereoscopic display. This learning through Adaboost algorithm in a row a waterfall-face detection, while against the ills of adaboost algorithm than the high rate of false detections, come up with a positive and negative detection of Adaboost, finally filtering through the use of integral graphs as well as the minimum value, of identification of human eye operation was completed. Experimental results show that algorithm for adaboost algorithm accuracy improvement is satisfactory, can meet the needs of auto-stereoscopic displays.
[Adaboost-OpenCv] - AdaBoost algorithm and OpenCv based face detection source code integrity, and can be used directly.
[Adaboosting face detection] - it using adaboosting to do strong classify
[aadaboost] - adaboost implementation in matlab complete source code can be directly used by the test.
[AdaBoost_weaklearner_1] - it is an adaboost weak learner
[Adaboost_guy] - Simple implementation of Adaboost algorithm program, suitable for beginners beginners
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