AdaBoost

Results: 297



#Item
191Statistical classification / Mind / Visual descriptors / Support vector machine / AdaBoost / Feature / Recall / Bag of words model in computer vision / Semantic memory / Computer vision / Statistics / Artificial intelligence

IBM Research and Columbia University TRECVID-2011 Multimedia Event Detection (MED) System Liangliang Cao†, Shih-Fu Chang∗, Noel Codella†, Courtenay Cotton∗, Dan Ellis,∗ Leiguang Gong†, Matthew Hill†, Gang H

Add to Reading List

Source URL: www-nlpir.nist.gov

Language: English - Date: 2012-01-10 13:32:28
192Mathematics / Algebra / Statistical classification / Shot transition detection / AdaBoost / Support vector machine / Optical flow / Motion estimation / Supervised learning / Video processing / Statistics / Machine learning

Microsoft Word - Trecvid05-28Feb06.doc

Add to Reading List

Source URL: www-nlpir.nist.gov

Language: English - Date: 2006-03-07 07:10:21
193Computational statistics / Machine learning / Face recognition / AdaBoost / Parts of speech / Classifier / Boosting / Statistical classification / Supervised learning / Artificial intelligence / Ensemble learning / Learning

Detecting Particles in Cryo-EM Micrographs using Learned Features Satya P. Mallick1 Yuanxin Zhu2

Add to Reading List

Source URL: vision.ucsd.edu

Language: English - Date: 2004-01-28 17:57:55
194Boosting / Statistical classification / Classification rule / Artificial neuron / Boosting methods for object categorization / Margin classifier / Machine learning / Ensemble learning / AdaBoost

Journal of Machine Learning Research[removed] Published 2/08 Response to Mease and Wyner, Evidence Contrary to the Statistical View of Boosting, JMLR 9:131–156, 2008: And Yet It Overfits

Add to Reading List

Source URL: www.stat.berkeley.edu

Language: English - Date: 2009-03-21 03:28:48
195Statistical classification / Support vector machine / Linear classifier / Cross-validation / Regularization / AdaBoost / Statistics / Machine learning / Artificial intelligence

Columbia University TRECVID2007 High-Level Feature Extraction Shih-Fu Chang, Wei Jiang, Akira Yanagawa, Eric Zavesky {sfchang,wjiang,akira,emz}@ee.columbia.edu Columbia University Department of Electrical Engineering

Add to Reading List

Source URL: www-nlpir.nist.gov

Language: English - Date: 2007-11-28 11:17:11
196Learning / Statistical classification / Machine learning / Computer vision / AdaBoost / Support vector machine / Boosting / Feature / Boosting methods for object categorization / Artificial intelligence / Statistics / Ensemble learning

TRECVID 2007 by the Brno Group High Level Feature Extraction & Shot Boundary Detection Adam Herout, Vítězslav Beran, Michal Hradiš, Igor Potúček, Pavel Zemčík, Petr Chmelař

Add to Reading List

Source URL: www-nlpir.nist.gov

Language: English - Date: 2008-03-03 10:55:06
197Learning / Machine learning / Statistical classification / AdaBoost / Supervised learning / Boosting / Classifier / Support vector machine / Boosting methods for object categorization / Ensemble learning / Statistics / Artificial intelligence

Multiple Component Learning for Object Detection Piotr Doll´ ar1,2 Boris Babenko2 Serge Belongie1,2 Pietro Perona1 Zhuowen Tu3 1

Add to Reading List

Source URL: authors.library.caltech.edu

Language: English - Date: 2014-08-22 16:26:50
198Artificial intelligence / Learning / Parts of speech / Ensemble learning / Classifier / Linear classifier / Binary classification / AdaBoost / Boosting methods for object categorization / Statistics / Statistical classification / Machine learning

BERG, BELHUMEUR: TOM-VS-PETE CLASSIFIERS AND IDENTITY-PRESERVING ALIGNMENT 1 Tom-vs-Pete Classifiers and Identity-Preserving Alignment for Face Verification

Add to Reading List

Source URL: thomasberg.org

Language: English - Date: 2013-10-20 17:34:54
199Mathematics / AdaBoost / Boosting / Random forest / Algorithm / Ensemble learning / Artificial intelligence / Learning

Data Analytics and Business Intelligence[removed]Ensemble Decision Trees [removed] Data Scientist Australian Taxation Office

Add to Reading List

Source URL: handsondatascience.com

Language: English - Date: 2014-07-01 06:17:26
200Search algorithms / Statistical classification / K-nearest neighbor algorithm / Ensemble learning / Classifier / Word-sense disambiguation / Nearest neighbor search / AdaBoost / Boosting methods for object categorization / Machine learning / Artificial intelligence / Information science

Superlinear Parallelization of k-Nearest Neighbor Retrieval Antal van den Bosch Ko van der Sloot

Add to Reading List

Source URL: ilk.uvt.nl

Language: English - Date: 2010-04-09 10:59:04
UPDATE