K-nearest neighbors algorithm

Results: 173



#Item
21Statistical classification / Machine learning / Artificial intelligence / Learning / Statistics / Co-training / Semi-supervised learning / Support vector machine / K-nearest neighbors algorithm / Naive Bayes classifier / Multiclass classification / Margin classifier

A Visual Approach for Interactive Co-Training Qi Han Weimeng Zhu Florian Heimerl

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Source URL: poloclub.gatech.edu

Language: English - Date: 2016-07-22 15:05:19
22Machine learning / Artificial intelligence / Image segmentation / K-nearest neighbors algorithm / Face recognition / Learning

Face Recognition with Occlusions in the Training and Testing Sets

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Source URL: www2.ece.ohio-state.edu

Language: English - Date: 2008-11-19 13:58:59
23Machine learning / Statistical classification / Statistics / Learning / Data / Support vector machine / Bootstrapping / Active learning / Semi-supervised learning / K-nearest neighbors algorithm

Scaling Up Crowd-Sourcing to Very Large Datasets: A Case for Active Learning Barzan Mozafari⋆ ⋆ Purna Sarkar† Michael Franklin† Michael Jordan† Samuel Madden‡

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Source URL: web.eecs.umich.edu

Language: English - Date: 2015-03-27 17:54:39
24Statistical classification / Classifier chains / Machine learning / Multi-label classification / Ensemble learning / Support vector machine / Classifier / K-nearest neighbors algorithm / Information / Cognition / Computing

Classifier Chains for Multi-label Classification Jesse Read, Bernhard Pfahringer, Geoff Holmes, Eibe Frank University of Waikato, Hamilton, New Zealand Experiments Introduction

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Source URL: jmread.github.io

Language: English - Date: 2016-05-18 09:25:59
25Search algorithms / Information science / Information retrieval / Mathematics / Nearest neighbor search / Locality-sensitive hashing / K-nearest neighbors algorithm / Hash function / Hash table / Curse of dimensionality / Similarity search

Selective Hashing: Closing the Gap between Radius Search and k-NN Search Jinyang Gao‡ H. V. Jagadish§

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Source URL: www.comp.nus.edu.sg

Language: English - Date: 2015-06-06 09:21:03
26Artificial intelligence / Machine learning / Ensemble learning / Learning / AdaBoost / Boosting / Statistical classification / K-nearest neighbors algorithm / Pattern recognition / ViolaJones object detection framework / CoBoosting

On Channel Reliability Measure Training for Multi-Camera Face Recognition Binglong Xie, Visvanathan Ramesh, Ying Zhu Terry Boult Real-Time Vision and Modeling Dept.

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Source URL: vast.uccs.edu

Language: English - Date: 2007-03-17 11:19:55
27Mathematics / Transport / Coupes / Sports cars / Sports sedans / Private transport / Search algorithms / Skyline / K-nearest neighbors algorithm / Nissan Skyline GT-R / Linear subspace

Skyline Ordering: A Flexible Framework for Efficient Resolution of Size Constraints on Skyline Queries Hua Lu, Christian S. Jensen, Zhenjie Zhang

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Source URL: dbtr.cs.aau.dk

Language: English - Date: 2011-09-02 07:26:49
28Statistics / Search algorithms / Information science / Information / Dimension reduction / K-d tree / K-means clustering / Normal distribution / K-nearest neighbors algorithm / Principal component analysis / Locality-sensitive hashing / Nearest neighbor search

LARGE-SCALE MUSIC SIMILARITY SEARCH WITH SPATIAL TREES Brian McFee Computer Science and Engineering University of California, San Diego ABSTRACT

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Source URL: eceweb.ucsd.edu

Language: English - Date: 2015-07-31 19:00:26
29Search algorithms / Information science / Statistical classification / Information retrieval / Learning / Machine learning / Dimension reduction / Hashing / K-nearest neighbors algorithm / Support vector machine / Jeffrey Ullman / Locality-sensitive hashing

Note to other teachers and users of these slides: We would be delighted if you found this our material useful in giving your own lectures. Feel free to use these slides verbatim, or to modify them to fit your own needs.

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Source URL: mmds.org

Language: English - Date: 2014-08-11 14:11:58
30Artificial intelligence / Learning / Machine learning / Statistical classification / K-nearest neighbors algorithm / Optical character recognition / Workflow

Development of an adaptive optical music recognition system within a large-scale digitization project Michael Droettboom and Ichiro Fujinaga Peabody Conservatory of Music

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Source URL: www.music.mcgill.ca

Language: English - Date: 2000-06-14 21:39:15
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