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Results 1 - 10 of 12 for Saxena (0.13 sec)

  1. AUTHORS

    David Eger
    Sheelagh Huddleston
    Dan Johnson
    Rajesh Katikam
    Thomas Kielbus
    Dar-Shyang Lee
    Zongyi (Joe) Liu
    Robert Moss
    Chris Newton
    Michael Reimer
    Marius Renn
    Raquel Romano
    Christy Russon
    Shobhit Saxena
    Mark Seaman
    Faisal Shafait
    Hiroshi Takenaka
    Ranjith Unnikrishnan
    Joern Wanke
    Ping Ping Xiu
    Andrew Ziem
    Oscar Zuniga
    
    Community Contributors:
    Zdenko Podobný (Maintainer)
    Jim Regan (Maintainer)
    Plain Text
    - Registered: 2020-09-21 15:00
    - Last Modified: 2019-12-17 12:42
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  2. src/textord/devanagari_processing.h

    // Copyright 2008 Google Inc. All Rights Reserved.
    // Author: ******@****.*** (Shobhit Saxena)
    // Licensed under the Apache License, Version 2.0 (the "License");
    // you may not use this file except in compliance with the License.
    // You may obtain a copy of the License at
    // http://www.apache.org/licenses/LICENSE-2.0
    // Unless required by applicable law or agreed to in writing, software
    // distributed under the License is distributed on an "AS IS" BASIS,
    C
    - Registered: 2020-09-21 15:00
    - Last Modified: 2019-05-04 13:14
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  3. doc/tesseract.1.asc

    Liu, Joern Wanke, Mark Seaman, Mickey Namiki, Nicholas Beato, Oded Fuhrmann, Phil Cheatle, Pingping Xiu, Pong Eksombatchai (Chantat), Ranjith Unnikrishnan, Raquel Romano, Ray Smith, Rika Antonova, Robert Moss, Samuel Charron, Sheelagh Lloyd, Shobhit Saxena, and Thomas Kielbus. For a list of contributors see <https://github.com/tesseract-ocr/tesseract/blob/master/AUTHORS>. COPYING ------- Licensed under the Apache License, Version 2.0...
    Others
    - Registered: 2020-09-21 15:00
    - Last Modified: 2020-02-03 10:37
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  4. src/textord/devanagari_processing.cpp

    /**********************************************************************
     * File:        devanagari_processing.cpp
     * Description: Methods to process images containing devanagari symbols,
     *              prior to classification.
     * Author:      Shobhit Saxena
     * Created:     Mon Nov 17 20:26:01 IST 2008
     *
     * (C) Copyright 2008, Google Inc.
     ** Licensed under the Apache License, Version 2.0 (the "License");
     ** you may not use this file except in compliance with the License.
    C++
    - Registered: 2020-09-21 15:00
    - Last Modified: 2018-05-27 16:49
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  5. .mailmap

    Shannen Saez <******@****.***>
    Shaopeng Zhang <******@****.***> szhang351 <******@****.***>
    Shigeki Ohtsu <******@****.***> <******@****.***>
    Shigeki Ohtsu <******@****.***> <******@****.***>
    Shivang Saxena <******@****.***>
    Shiya Luo <******@****.***> shiya <******@****.***>
    Siddharth Mahendraker <******@****.***> <******@****.***>
    Simon Willison <******@****.***>
    Plain Text
    - Registered: 2020-09-22 21:40
    - Last Modified: 2020-09-12 16:47
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  6. AUTHORS

        Piotr Lewandowski <******@****.***>
        plisk
        ******@****.***
        ******@****.***
        Preston Holmes <******@****.***>
        Preston Timmons <******@****.***>
        Priyansh Saxena <******@****.***>
        Przemysław Buczkowski <******@****.***>
        Przemysław Suliga <http://suligap.net>
        Rachel Tobin <******@****.***>
        Rachel Willmer <http://www.willmer.com/kb/>
    Plain Text
    - Registered: 2020-09-24 07:01
    - Last Modified: 2020-09-16 11:43
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  7. AUTHORS.txt

    Nathan Wells <******@****.***>
    Neekey <******@****.***>
    Nekron <******@****.***>
    Neverland <******@****.***>
    Nico <******@****.***>
    Nidhi Agarwal <******@****.***>
    Nihal Saxena <******@****.***>
    Nikitenkova <******@****.***>
    Niko Autio <******@****.***>
    Nikolay <******@****.***>
    Nikolay Solovyov <******@****.***>
    Nima Dehnashi <******@****.***>
    Plain Text
    - Registered: 2020-09-22 14:58
    - Last Modified: 2020-05-16 13:43
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  8. ch11_迁移学习/第十一章_迁移学习.md

    [Saito et al., 2017] Saito, K., Ushiku, Y., and Harada, T. (2017). Asymmetric tri-training for unsupervised domain adaptation. In *International Conference on Machine Learning*.
    
    [Sener et al., 2016] Sener, O., Song, H. O., Saxena, A., and Savarese, S. (2016). Learning transferrable representations for unsupervised domain adaptation. In *Advances in Neural Information Processing Systems*, pages 2110-2118.
    
    Plain Text
    - Registered: 2020-09-27 15:33
    - Last Modified: 2020-05-21 10:44
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  9. docs/plugins.md

    			<a href="https://github.com/prtksxna">Prateek Saxena</a>
    		</td>
    	</tr>
    	<tr>
    		<td>
    			<a href="https://github.com/prtksxna/leaflet-map-component">Leaflet map component</a>
    		</td><td>
    			Integrate Leaflet in applications made with the <a href='https://www.polymer-project.org/0.5/'>Polymer 0.5</a> web framework.
    		</td><td>
    			<a href="https://github.com/prtksxna">Prateek Saxena</a>
    		</td>
    	</tr>
    	<tr>
    Plain Text
    - Registered: 2020-09-24 13:09
    - Last Modified: 2020-09-24 12:09
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  10. AUTHORS

    Unknown <******@****.***>
    Krzysztof Taborski <******@****.***>
    Blaine Bublitz <******@****.***>
    Shailesh Shekhawat <******@****.***>
    Davis Okoth <******@****.***>
    Shivang Saxena <******@****.***>
    Lucas Liepert <******@****.***>
    Miklos Suveges <******@****.***>
    Ernesto Salazar <******@****.***>
    Tommaso Allevi <******@****.***>
    Plain Text
    - Registered: 2020-09-22 21:40
    - Last Modified: 2020-09-12 16:47
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