Outlier

Results: 934



#Item
41Ann Inst Stat Math:589–619 DOIs10463Influence diagnostics for robust P-splines using scale mixture of normal distributions Felipe Osorio

Ann Inst Stat Math:589–619 DOIs10463Influence diagnostics for robust P-splines using scale mixture of normal distributions Felipe Osorio

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Source URL: www.ism.ac.jp

Language: English - Date: 2016-06-28 03:34:42
42Using mutual proximity for novelty detection in audio music similarity Arthur Flexer? and Dominik Schnitzer Austrian Research Institute for Artificial Intelligence Freyung 6/6, Vienna, Austria

Using mutual proximity for novelty detection in audio music similarity Arthur Flexer? and Dominik Schnitzer Austrian Research Institute for Artificial Intelligence Freyung 6/6, Vienna, Austria

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Source URL: www.ecmlpkdd2013.org

Language: English - Date: 2013-10-31 16:17:08
43Outlier Detection Techniques

Outlier Detection Techniques

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Source URL: ssdbm2011.ssdbm.org

Language: English - Date: 2011-09-01 18:39:24
44Powerpoint-presentation Information and Computing Sciences

Powerpoint-presentation Information and Computing Sciences

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Source URL: eda.mmci.uni-saarland.de

Language: English - Date: 2016-05-11 06:09:01
45268  Genome Informatics 13: 268–Precise Gene Expression Measurement with Outlier Detection

268 Genome Informatics 13: 268–Precise Gene Expression Measurement with Outlier Detection

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Source URL: www.jsbi.org

Language: English - Date: 2002-12-19 23:03:44
46Latent Outlier Detection and the Low Precision Problem Fei Wang, Sanjay Chawla and Didi Surian University of Sydney

Latent Outlier Detection and the Low Precision Problem Fei Wang, Sanjay Chawla and Didi Surian University of Sydney

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Source URL: www.outlier-analytics.org

Language: English - Date: 2013-08-13 08:05:46
47Probabilistic Semi-Dense Mapping from Highly Accurate Feature-Based Monocular SLAM Raúl Mur-Artal and Juan D. Tardós 1. Monocular SLAM approaches  5. Probabilistic Semi-Dense Mapping

Probabilistic Semi-Dense Mapping from Highly Accurate Feature-Based Monocular SLAM Raúl Mur-Artal and Juan D. Tardós 1. Monocular SLAM approaches 5. Probabilistic Semi-Dense Mapping

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Source URL: webdiis.unizar.es

Language: English - Date: 2015-09-18 04:43:16
48AUTOMATIC OUTLIER DETECTION IN MUSIC GENRE DATASETS Yen-Cheng Lu1 Chih-Wei Wu2  Chang-Tien Lu1

AUTOMATIC OUTLIER DETECTION IN MUSIC GENRE DATASETS Yen-Cheng Lu1 Chih-Wei Wu2 Chang-Tien Lu1

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Source URL: wp.nyu.edu

Language: English - Date: 2016-08-16 16:20:31
49Semi-streaming Quantizaton for Remote-sensing Data Amy Braverman∗, Eric Fetzer∗ , Annmarie Eldering∗ , Silvia Nittel†, and Kelvin Leung‡ May 7, 2003 Abstract We describe a strategy for reducing the size and com

Semi-streaming Quantizaton for Remote-sensing Data Amy Braverman∗, Eric Fetzer∗ , Annmarie Eldering∗ , Silvia Nittel†, and Kelvin Leung‡ May 7, 2003 Abstract We describe a strategy for reducing the size and com

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Source URL: silvianittel.files.wordpress.com

Language: English - Date: 2016-07-10 13:03:30
50U. S. GEOLOGICAL SURVEY ANNUAL PEAK FLOW FREQUENCY ANALYSIS Following Bulletin 17-B Guidelines Program peakfq (Version 4.0, December, 2000)

U. S. GEOLOGICAL SURVEY ANNUAL PEAK FLOW FREQUENCY ANALYSIS Following Bulletin 17-B Guidelines Program peakfq (Version 4.0, December, 2000)

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Source URL: archive.usgs.gov

Language: English - Date: 2016-03-15 12:26:27