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Boosting methods for object categorization
Results: 106

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11	Applying Probabilistic Thematic Clustering for Classification in the TREC 2005 Genomics Track Z. H. Zheng, S. Brady, A. Garg, H. Shatkay School of Computing, Queen’s University Kingston, Ontario, Canada {zhi, 1sb1, 2ag Add to Reading List Source URL: trec.nist.gov Language: English Binary classification Naive Bayes classifier Support vector machine Classifier Boosting methods for object categorization Bag of words model in computer vision Statistics Statistical classification Machine learning
12	Detecting avocados to zucchinis: what have we done, and where are we going? Olga Russakovsky1 , Jia Deng1 , Zhiheng Huang1 , Alexander C. Berg2 , Li Fei-Fei1 Stanford University1 , UNC Chapel Hill2 Abstract Add to Reading List Source URL: web.eecs.umich.edu Language: English - Date: 2013-10-08 13:17:10 Caltech 101 LabelMe Object recognition Part-based models Segmentation Object detection Kadir–Brady saliency detector Boosting methods for object categorization Computer vision Image processing California Institute of Technology
13	PDF Document Add to Reading List Source URL: people.csail.mit.edu Language: English - Date: 2008-07-28 09:43:41 Parts of speech Support vector machine Classifier Boosting methods for object categorization Statistics Statistical classification Machine learning
14	PDF Document Add to Reading List Source URL: www-hagen.cs.uni-kl.de Language: English - Date: 2011-08-24 07:32:47 Wavelet Three-dimensional face recognition AdaBoost Facial recognition system Gesture recognition Statistical classification Boosting methods for object categorization Histogram of oriented gradients Computer vision Artificial intelligence Face recognition
15	Using the Forest to See the Trees: A Graphical Model Relating Features, Objects, and Scenes Kevin Murphy MIT AI lab Cambridge, MA 02139 Add to Reading List Source URL: web.mit.edu Language: English - Date: 2004-04-12 11:28:21 Optics Image processing Edge detection Object recognition Boosting methods for object categorization One-shot learning Computer vision Vision Imaging
16	Department of Electrical and Computer Systems Engineering Technical Report MECSE Add to Reading List Source URL: www.ecse.monash.edu.au Language: English - Date: 2005-03-30 03:00:23 Learning AdaBoost Boosting Statistical classification Type I and type II errors Gain Face detection Bootstrapping Boosting methods for object categorization Ensemble learning Artificial intelligence Statistics
17	Online Multiple Instance Learning: A Boosting Approach Carlo Ciliberto SINA – Genova – Boosting Add to Reading List Source URL: www.lira.dist.unige.it Language: English - Date: 2011-12-20 06:51:20 AdaBoost Statistical classification Multiple-instance learning Boosting methods for object categorization LPBoost Machine learning Ensemble learning Boosting
18	Ensemble Classifiers ● IDEA:   Add to Reading List Source URL: www.ic.unicamp.br Language: English - Date: 2012-05-08 12:02:27 Statistical classification Boosting Margin classifier Boosting methods for object categorization Machine learning Ensemble learning AdaBoost
19	Classification of HEp-2 Cells using Fluorescent Image Analysis and Data Mining Add to Reading List Source URL: www.data-mining-tutorial.de Language: English - Date: 2009-10-09 07:21:20 Statistical classification Pattern recognition Feature extraction Linear discriminant analysis Feature Data mining Decision tree learning Boosting methods for object categorization Book:Machine Learning - The Complete Guide Statistics Machine learning Artificial intelligence
20	Recap: Multiple Views and Motion • Epipolar geometry – Relates cameras in two positions – Fundamental matrix maps from a point in one image to a line (its epipolar line) in the other – Can solve for F given corre Add to Reading List Source URL: cs.brown.edu Language: English - Date: 2013-10-07 14:31:50 Learning Statistical classification Epipolar geometry Fundamental matrix Boosting methods for object categorization Ensemble learning Linear classifier Artificial intelligence Machine learning Statistics

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