Boosting

Results: 1375



#Item
121Computer vision / Artificial intelligence / Face recognition / Machine learning / Face detection / FERET / Facial recognition system / Edge detection / Pattern recognition / Boosting / Feature detection / ViolaJones object detection framework

Face and Eye Detection on Hard Datasets Jon Parris1 , Michael Wilber1 , Brian Heflin2 , Ham Rara3 , Ahmed El-barkouky3 , Aly Farag3 , Javier Movellan4 , Anonymous5 , Modesto Castril´on-Santana6 , Javier Lorenzo-Navarro6

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Source URL: vast.uccs.edu

Language: English - Date: 2011-09-08 17:25:19
122Face recognition / Ensemble learning / Surveillance / Statistical models / Face detection / Boosting / Latent variable / Facial recognition system / ViolaJones object detection framework

Image and Vision Computing–61 Contents lists available at ScienceDirect Image and Vision Computing journal homepage: www.elsevier.com/locate/imavis

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Source URL: ibug.doc.ic.ac.uk

Language: English - Date: 2015-11-12 06:27:17
123Face recognition / Ensemble learning / Boosting / Face detection / Pattern recognition / Eigenface / AdaBoost / Facial recognition system / Linear discriminant analysis / Reliability engineering / K-nearest neighbors algorithm / ViolaJones object detection framework

SUBMITTED FOR PUBLICATION TO: , JUNE 30, Multi-Camera Face Recognition by Reliability-Based Selection

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Source URL: vast.uccs.edu

Language: English - Date: 2007-02-17 09:44:02
124Feature detection / Ensemble learning / Histogram of oriented gradients / Pedestrian detection / AdaBoost / Boosting / KanadeLucasTomasi feature tracker / Edge detection / LucasKanade method / Cluster analysis / Optical flow / Corner detection

Vision-based Bicyclist Detection and Tracking for Intelligent Vehicles Hyunggi Cho, Paul E. Rybski and Wende Zhang Abstract— This paper presents a vision-based framework for intelligent vehicles to detect and track peo

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Source URL: www.ri.cmu.edu

Language: English - Date: 2010-05-18 15:43:25
125Machine learning / Educational psychology / Supervised learning / Pattern recognition / Tag / Boosting / Active learning / Music information retrieval / Educational technology / Learning / Human-based computation game

Game-powered machine learning Luke Barringtona,1, Douglas Turnbullb, and Gert Lanckrieta a Electrical and Computer Engineering Department, University of California at San Diego, La Jolla, CA 92093; and bComputer Science

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Source URL: eceweb.ucsd.edu

Language: English - Date: 2015-07-31 19:00:27
126Generalized functions / Smooth functions / Ensemble learning / Gradient boosting / Distribution / Loss function / Gradient descent / Mathematical optimization / Logarithm / operator / Dirac delta function

A General Framework for Learning an Ensemble of Decision Rules Krzysztof Dembczyński1 , Wojciech Kotłowski1 , and Roman Słowiński1,2 1 2

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Source URL: www.ke.tu-darmstadt.de

Language: English - Date: 2009-11-06 11:55:58
127Ensemble learning / Boosting / AdaBoost / Carl Johnson / Decision stump / Multi-label classification / Machine learning

TreeBoost.MH: A Boosting Algorithm for Multi-label Hierarchical Text Categorization Andrea Esuli, Tiziano Fagni, and Fabrizio Sebastiani Istituto di Scienza e Tecnologia dell’Informazione Consiglio Nazionale delle Rice

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Source URL: www.esuli.it

Language: English - Date: 2015-12-11 11:27:09
128Ensemble learning / AdaBoost / Boosting / LPBoost / Decision stump / K-nearest neighbors algorithm / Gradient boosting

Boosting in the Online Setting Charles Marsh Abstract Boosting in the batch setting is a well-known machine learning technique with strong theoretical foundations and extensive use in practice. In t

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Source URL: www.crmarsh.com

Language: English - Date: 2016-06-12 18:28:24
129Michael Kearns / Mohri / Boosting / Machine learning / Bayesian network / Robert Schapire / Littmann / Nonparametric statistics / Ben Taskar

http://priml.upenn.edu PRιML Penn Research in Machine Learning School of Engineering & Applied Science | The Wharton School

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Source URL: www.seas.upenn.edu

Language: English - Date: 2010-09-27 18:27:34
130Machine learning / Computational linguistics / Digital signal processing / Natural language processing / Boosting / Ensemble learning / Test set / Active learning / Oversampling / Sampling / Word-sense disambiguation / Named-entity recognition

Natural Language Engineering http://journals.cambridge.org/NLE Additional services for Natural Language Engineering: Email alerts: Click here Subscriptions: Click here Commercial reprints: Click here

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Source URL: www.di.fc.ul.pt

Language: English - Date: 2016-05-02 07:04:12
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