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AdaBoost
Results: 297

#	Item
31	Detecting Object Boundaries Using Low-, Mid-, and High-level Information Songfeng Zheng Zhuowen Tu Alan Yuille Add to Reading List Source URL: pages.ucsd.edu Language: English - Date: 2007-03-18 16:52:36 Feature detection Computer vision Ensemble learning Image processing Shape context Image segmentation Canny edge detector Edge detection AdaBoost Thresholding Boosting Classifier
32	C:/usr/ztu/Document/paper/Journal/2008/PAMI_AutoContext/revision/pami_auto_revision_minor.dvi Add to Reading List Source URL: pages.ucsd.edu Language: English - Date: 2009-07-09 19:18:59 Machine learning Image segmentation Conditional random field Medical image computing AdaBoost
33	Probabilistic 3D Polyp Detection in CT Images: The Role of Sample Alignment Zhuowen Tu1 , Xiang Sean Zhou3 , Adrian Barbu2 , Luca Bogoni3 , Dorin Comaniciu2 1 Lab of Neuro Imaging, Dept. of Neurology, UCLA 2 Integrated D Add to Reading List Source URL: pages.ucsd.edu Language: English - Date: 2006-03-28 17:53:00 Ensemble learning AdaBoost Cascading classifiers Boosting Polyp Supervised learning Classifier Linear discriminant analysis Statistical classification ViolaJones object detection framework
34	Multi-label Classification using Ensembles of Pruned Sets Submitted for Blind Review Abstract This paper presents a Pruned Sets method (PS) for multilabel classification. It is centred on the concept of treating sets of Add to Reading List Source URL: users.ics.aalto.fi Language: English - Date: 2010-10-25 05:10:52 Ensemble learning Statistical classification Multi-label classification Support vector machine K-nearest neighbors algorithm AdaBoost Boosting Machine learning
35	A Pruned Problem Transformation Method for Multi-label Classification Jesse Read University of Waikato, Hamilton, New Zealand Add to Reading List Source URL: perso.telecom-paristech.fr Language: English - Date: 2010-10-25 05:10:52 Statistical classification Machine learning Ensemble learning Multi-label classification Support vector machine AdaBoost Multiclass classification Naive Bayes classifier Boosting K-nearest neighbors algorithm Document classification Classifier chains
36	Pedestrian detection at 100 frames per second Rodrigo Benenson, Markus Mathias, Radu Timofte and Luc Van Gool ESAT-PSI-VISICS/IBBT, Katholieke Universiteit Leuven, Belgium Abstract Add to Reading List Source URL: europa.informatik.uni-freiburg.de Language: English - Date: 2012-06-20 17:36:57 Feature detection Integral Channel Features Pedestrian detection Image segmentation AdaBoost Support vector machine ViolaJones object detection framework Histogram of oriented gradients
37	A SUPERVISED APPROACH FOR DETECTING BOUNDARIES IN MUSIC USING DIFFERENCE FEATURES AND BOOSTING Douglas Turnbull1 , Gert Lanckriet2 Computer Science & Engineering1 Electrical & Computer Engineering2 University of Californ Add to Reading List Source URL: eceweb.ucsd.edu Language: English - Date: 2015-07-31 19:00:26 Music information retrieval Machine learning Timefrequency analysis Statistical classification Chroma feature Music technology Image segmentation Mel-frequency cepstrum AdaBoost Linear classifier Supervised learning Diff utility
38	Supervised Learning of Edges and Object Boundaries Piotr Doll´ar Zhuowen Tu Serge Belongie Add to Reading List Source URL: pages.ucsd.edu Language: English - Date: 2006-04-02 13:05:32 Feature detection Ensemble learning Machine learning Image segmentation Canny edge detector Supervised learning Edge detection Boosting AdaBoost Conditional random field Outline of object recognition Cascading classifiers
39	JMLR: Workshop and Conference Proceedings vol–46.4 25th Annual Conference on Learning Theory Open Problem: Does AdaBoost Always Cycle? Cynthia Rudin Add to Reading List Source URL: rob.schapire.net Language: English - Date: 2015-07-13 19:42:37
40	Microsoft PowerPoint - cs559f15_Week6.pptx Add to Reading List Source URL: www.cs.stevens.edu Language: English - Date: 2015-10-08 21:58:53 Statistical classification Statistics Artificial intelligence Machine learning Multivariate statistics Ensemble learning Linear discriminant analysis K-nearest neighbors algorithm Discriminant function analysis AdaBoost Boosting Classifier

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