AdaBoost

Results: 297



#Item
151Data analysis / Data mining / Multivariate statistics / Ross Quinlan / Cluster analysis / K-means clustering / K-nearest neighbor algorithm / Support vector machine / AdaBoost / Statistics / Machine learning / Computational statistics

Knowl Inf Syst[removed]:1–37 DOI[removed]s10115[removed]SURVEY PAPER Top 10 algorithms in data mining Xindong Wu · Vipin Kumar · J. Ross Quinlan · Joydeep Ghosh · Qiang Yang ·

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Source URL: www.cs.umd.edu

Language: English - Date: 2008-04-01 15:43:35
152Vision / Ensemble learning / Face recognition / Histogram of oriented gradients / Statistical classification / Classifier / Face detection / AdaBoost / Learning classifier system / Artificial intelligence / Machine learning / Computer vision

Optimizing Discrimination-Efficiency Tradeoff in Integrating Heterogeneous Local Features for Object Detection

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Source URL: iris.usc.edu

Language: English - Date: 2009-11-16 12:39:49
153Ensemble learning / Computer vision / Statistical classification / AdaBoost / Boosting / Decision stump / Color histogram / LabelMe / Support vector machine / Machine learning / Artificial intelligence / Vision

Towards scalable dataset construction: An active learning approach Brendan Collins, Jia Deng, Kai Li, and Li Fei-Fei {bmcollin, dengjia, li, feifeili}@cs.princeton.edu Department of Computer Science, Princeton University

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Source URL: vision.stanford.edu

Language: English - Date: 2009-05-16 21:55:47
154Statistical classification / Learning / Parts of speech / Machine learning / AdaBoost / Classifier / Boosting / Naive Bayes classifier / Support vector machine / Statistics / Ensemble learning / Artificial intelligence

JOURNAL OF LATEX CLASS FILES, VOL. 1, NO. 8, AUGUST[removed]Discriminative Feature Co-occurrence Selection for Object Detection

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Source URL: mi.eng.cam.ac.uk

Language: English - Date: 2007-08-08 04:33:06
155Learning / Empirical risk minimization / AdaBoost / Convex optimization / Supervised learning / Support vector machine / Machine learning / Statistics / Artificial intelligence

Learning with Noisy Labels Nagarajan Natarajan Inderjit S. Dhillon Pradeep Ravikumar Department of Computer Science, University of Texas, Austin.

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Source URL: www.cs.utexas.edu

Language: English - Date: 2013-11-09 16:09:37
156Face recognition / Image processing / Face detection / Viola–Jones object detection framework / Haar-like features / AdaBoost / Feature detection / Optical flow / Tracking / Computer vision / Vision / Artificial intelligence

TRACKING ANIMALS IN WILDLIFE VIDEOS USING FACE DETECTION TILO BURGHARDT, JANKO ĆALIĆ, BARRY T. THOMAS Dept. of Computer Science, University of Bristol,

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Source URL: www.cs.bris.ac.uk

Language: English - Date: 2014-03-11 07:04:42
157AdaBoost / Gradient boosting / Decision stump / LogitBoost / Boosting methods for object categorization / LPBoost / Machine learning / Ensemble learning / Boosting

Human Boosting Harsh Pareek [removed] Pradeep Ravikumar [removed]

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Source URL: www.cs.utexas.edu

Language: English - Date: 2013-01-08 00:54:06
158Computational statistics / AdaBoost / Boosting / Statistical classification / Classifier / Functional magnetic resonance imaging / Boosting methods for object categorization / Ensemble learning / Artificial intelligence / Learning

Exploiting Spatial Information to Improve fMRI Pattern Classification Melissa K. Carroll , Kenneth A. Norman , James V. Haxby , Robert E. Schapire 1

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Source URL: compmem.princeton.edu

Language: English - Date: 2010-11-05 09:33:06
159Ensemble learning / Mathematical finance / AdaBoost / Supervised learning / Support vector machine / Generalization error / Normal distribution / Active learning / Optimal stopping / Statistics / Machine learning / Statistical classification

arXiv:0708.1242v3 [cs.LG] 15 Nov[removed]Cost-minimising strategies for data labelling : optimal stopping and active learning Christos Dimitrakakis [removed]

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Source URL: eprints.pascal-network.org

Language: English - Date: 2008-02-18 08:59:40
160Segmentation / AdaBoost / Pixel / Image processing / Computer graphics / Imaging

T O APPEAR IN CVPR[removed]Discriminative Modeling by Boosting on Multilevel Aggregates Jason J. Corso Computer Science and Engineering SUNY at Buffalo

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Source URL: www.cse.buffalo.edu

Language: English - Date: 2014-07-29 10:11:56
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