Thresholding

Results: 267



#Item
21Range Thresholding on Streams Miao Qiao Junhao Gan  Yufei Tao

Range Thresholding on Streams Miao Qiao Junhao Gan Yufei Tao

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Source URL: staff.itee.uq.edu.au

Language: English - Date: 2016-04-16 04:52:33
22November 22, :19 WSPC/115-IJPRAIInternational Journal of Pattern Recognition and Artificial Intelligence Vol. 15, No–1250

November 22, :19 WSPC/115-IJPRAIInternational Journal of Pattern Recognition and Artificial Intelligence Vol. 15, No–1250

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Source URL: debut.cis.nctu.edu.tw

Language: English - Date: 2013-07-12 03:09:44
23Two thresholds are better than one

Two thresholds are better than one

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Source URL: vast.uccs.edu

Language: English - Date: 2010-10-23 12:03:50
24Behavior, sensitivity, and power of activation likelihood estimation characterized by massive empirical simulation

Behavior, sensitivity, and power of activation likelihood estimation characterized by massive empirical simulation

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Source URL: brainmap.org

Language: English - Date: 2016-05-23 11:39:19
25Contrast-Based Fully Automatic Segmentation of White Matter Hyperintensities: Method and Validation Thomas Samaille1,2,3,4*, Ludovic Fillon1,2,3,4, Re´mi Cuingnet1,2,3,4, Eric Jouvent6, Hugues Chabriat6,7,8, Didier Dorm

Contrast-Based Fully Automatic Segmentation of White Matter Hyperintensities: Method and Validation Thomas Samaille1,2,3,4*, Ludovic Fillon1,2,3,4, Re´mi Cuingnet1,2,3,4, Eric Jouvent6, Hugues Chabriat6,7,8, Didier Dorm

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Source URL: www.aramislab.fr

Language: English - Date: 2015-05-27 04:24:39
26ISSN No: International Journal & Magazine of Engineering, Technology, Management and Research A Peer Reviewed Open Access International Journal

ISSN No: International Journal & Magazine of Engineering, Technology, Management and Research A Peer Reviewed Open Access International Journal

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Source URL: www.ijmetmr.com

Language: English - Date: 2014-12-10 07:04:07
27doi:j.patrec

doi:j.patrec

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Source URL: www.cs.toronto.edu

Language: English - Date: 2016-06-12 17:36:44
28Detecting Object Boundaries Using Low-, Mid-, and High-level Information Songfeng Zheng Zhuowen Tu  Alan Yuille

Detecting Object Boundaries Using Low-, Mid-, and High-level Information Songfeng Zheng Zhuowen Tu Alan Yuille

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Source URL: pages.ucsd.edu

Language: English - Date: 2007-03-18 16:52:36
29Geosci. Instrum. Method. Data Syst., 5, 305–314, 2016 www.geosci-instrum-method-data-syst.netdoi:gi © Author(sCC Attribution 3.0 License.  Automatic segmentation and classificat

Geosci. Instrum. Method. Data Syst., 5, 305–314, 2016 www.geosci-instrum-method-data-syst.netdoi:gi © Author(sCC Attribution 3.0 License. Automatic segmentation and classificat

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Source URL: www.geosci-instrum-method-data-syst.net

Language: English - Date: 2016-07-21 06:12:34
30Two thresholds are better than one

Two thresholds are better than one

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Source URL: www.vast.uccs.edu

Language: English - Date: 2010-10-23 12:03:50