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AdaBoost
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#	Item
61	C:/Users/Allisson/Dropbox/Automatic Diagnosis for Malaria/Malaria/Papers By Allisson/PMDADEADLINE 01_04/8phda12-oliveira.dvi Add to Reading List Source URL: www2013.wwwconference.org Language: English - Date: 2014-07-21 08:47:00 Ensemble learning Artificial intelligence Medicine Microbiology Malaria AdaBoost Diagnosis of malaria Recife University of Pernambuco Pernambuco Statistical classification Plasmodium falciparum
62	Contour-Based Learning for Object Detection Jamie Shotton Department of Engineering University of Cambridge Add to Reading List Source URL: jamie.shotton.org Language: English - Date: 2013-04-10 20:18:03 Artificial intelligence Computer vision Machine learning Feature detection Ensemble learning Boosting Constellation model AdaBoost Image segmentation Edge detection Outline of object recognition Decision stump
63	Two-Class Weather Classification∗ Cewu Lu§ § Di Lin† Add to Reading List Source URL: www.cse.cuhk.edu.hk Language: English - Date: 2014-04-14 11:12:43 Statistical classification Artificial intelligence Learning Statistics Machine learning Support vector machine Conference on Computer Vision and Pattern Recognition K-nearest neighbors algorithm AdaBoost
64	Revealing Household Characteristics from Smart Meter Data Christian Beckela,∗, Leyna Sadamoria , Thorsten Staakeb , Silvia Santinic a Institute for Pervasive Computing, Department of Computer Science, ETH Zurich, Add to Reading List Source URL: www.vs.inf.ethz.ch Language: English - Date: 2014-11-11 08:41:59 Statistical classification Electric power Electromagnetism Statistics Learning Machine learning Smart meter Electricity meter Support vector machine K-nearest neighbors algorithm Classifier AdaBoost
65	High-Level Fusion of Depth and Intensity for Pedestrian Classification Marcus Rohrbach1,3 , Markus Enzweiler2 and Dariu M. Gavrila1,4 1 Environment Perception, Group Research, Daimler AG, Ulm, Germany Add to Reading List Source URL: dl.dropboxusercontent.com Language: English Feature detection Machine learning Ensemble learning Statistical classification Histogram of oriented gradients Support vector machine AdaBoost Pattern recognition Classifier Edge detection Pedestrian detection
66	One coordinate at a time • Adaboost performs gradient descent on exponential loss • Adds one coordinate (“weak learner”) at each iteration. • Weak learning in binary classification = slightly better than random Add to Reading List Source URL: seed.ucsd.edu Language: English - Date: 2011-02-10 16:52:04
67	PDF Document Add to Reading List Source URL: dl.dropboxusercontent.com Language: English Computer vision Artificial intelligence Ensemble learning Vision Feature detection Pedestrian detection Surveillance Catadioptric system Cascade Framework Boosting AdaBoost Speeded up robust features
68	Bridge detection in grid terrains and improved drainage enforcement Ryan Carlson Andrew Danner Add to Reading List Source URL: www.cs.swarthmore.edu Language: English - Date: 2010-09-20 18:10:56 Computer vision Learning AdaBoost Digital elevation model Classifier Boosting USGS DEM Statistical classification LIDAR Artificial intelligence Ensemble learning Machine learning
69	Boosted Optimization for Network Classification Timothy Hancock Bioinformatics Center Institute for Chemical Research Kyoto University, Japan Add to Reading List Source URL: jmlr.csail.mit.edu Language: English - Date: 2010-03-31 18:50:22 Graph theory Ensemble learning Formal sciences Statistical models Belief propagation Gradient boosting AdaBoost Pattern recognition Bayesian network Statistics Graphical models Machine learning
70	Domain Adaptation with Good Edit Similarities: a Sparse Way to deal with Scaling and Rotation Problems in Image Classification Amaury Habrard University of Aix-Marseille Laboratoire d’Informatique Fondamentale UMR CNRS Add to Reading List Source URL: laboratoirehubertcurien.fr Language: English - Date: 2011-11-16 02:20:36 Learning Machine learning Ensemble learning Support vector machine AdaBoost Levenshtein distance Linear classifier Statistics Statistical classification Artificial intelligence

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