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Shawn F Reid

from Orem, UT
Age ~69
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Also known as:
Shawn Fletcher Reid, Marco Shawn Reid, Shawn F Reed, Shawn F Ried
Phone and address:
1028 150, Orem, UT 84058
(801) 226-8554
Related to:
Luca M Reid, 41Davide P Reid, 40Ray Benson Tyler, 49Davide P ReidOlivia D Wiemers, 39Sean ReidGabriella M Reid, 73Marco S Reid, 46Joey E Matos, 46David J Reid, 71Elizabeth C Reid, 46
Connected to:
Abi A Reid, 27Abram G Reid, 42Adrianna N Reid, 35Aja Reid, 38Akil J Reid, 43Akira H Reid, 31Alastair Reid, 33Alec Reid, 28Alecia Reid, 37Alina C Reid, 65

Shawn Reid Phones & Addresses

  • 1028 150, Orem, UT 84058 (801) 226-8554
  • Reno, NV
  • Tremonton, UT
  • 1028 S 150 W, Orem, UT 84058 (801) 638-1792

Work

Company: Perot systems government services Jan 1999 to Feb 2003 Position: Director of development

Education

Degree: Bachelors, Bachelor of Science School / High School: Brigham Young University 1984 to 1987 Specialities: Computer Science, Mechanical Engineering

Skills

Agile Methodologies • Software Development • Scrum • Software Engineering • Product Management • C# • Web Services • User Experience • Strategic Planning

Languages

Italian

Emails

s***d@hotmail.com

Industries

Computer Software

Resumes

Resumes

Shawn Reid Photo 1

Senior Director Of Development

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Location:
Orem, UT
Industry:
Computer Software
Work:
Perot Systems Government Services Jan 1999 - Feb 2003
Director of Development
Ancestry Jan 1999 - Feb 2003
Senior Director of Development
Wordperfect Jan 1989 - Jan 1999
Director of Development
Education:
Brigham Young University 1984 - 1987
Bachelors, Bachelor of Science, Computer Science, Mechanical Engineering
Skills:
Agile Methodologies
Software Development
Scrum
Software Engineering
Product Management
C#
Web Services
User Experience
Strategic Planning
Languages:
Italian

Business Records

Name / Title
Company / Classification
Phones & Addresses
Shawn F. Reid
Principal
WASATCH WEBWARE, LLC
Nonclassifiable Establishments
161 S 1170 E, Hyrum, UT 84319

Publications

Us Patents

Multiple Image Input For Optical Character Recognition Processing Systems And Methods

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US Patent:
20070211942, Sep 13, 2007
Filed:
Nov 15, 2006
Appl. No.:
11/560026
Inventors:
Donald B. Curtis - Highland UT, US
Shawn Reid - Orem UT, US
Assignee:
The Generations Network, Inc. - Provo UT
International Classification:
G06K 9/00
US Classification:
382181
Abstract:
A method of processing an image includes receiving a digital version of the image, processing the digital version of the image through at least two binarization processes to thereby create a first binarization and a second binarization, and processing the first binarization through a first optical character recognition process to thereby create a first OCR output file. Processing the first binarization through a first optical character recognition process includes compiling first metrics associated with the first OCR output file. The method also includes processing the second binarization through the first optical character recognition process to thereby create a second OCR output file. Processing the second binarization through the first optical character recognition process includes compiling second metrics associated with the second OCR output file. The method also includes using the metrics, at least in part, to select a final OCR output file from among the OCR output files.

Dual Sided Mirror Book Imaging Devices And Methods

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US Patent:
20120200948, Aug 9, 2012
Filed:
Feb 8, 2011
Appl. No.:
13/022813
Inventors:
Jack Reese - Lindon UT, US
Shawn Reid - Orem UT, US
Assignee:
Ancestry.com Operations Inc. - Provo UT
International Classification:
G02B 5/08
US Classification:
359866
Abstract:
Devices, systems, and methods for facilitating the imaging of books are presented. A first transparent plate and a second transparent plate may be positioned at approximately a 45 degree angle to the first transparent plate. A dual-sided mirror may be configured to be positioned substantially parallel with the first transparent plate and to be positioned substantially parallel with the second transparent plate. The first side of the dual-sided mirror may be configured to reflect a first image of a first page of a book, the first image being received by the dual-sided mirror through the first transparent plate. The second side of the dual-sided mirror may be configured to reflect a second image of a second page of the book, the second image being received by the dual-sided mirror through the second transparent plate.

Multi-Angle And Multi-Position Reprographic Copy Stand

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US Patent:
20120248280, Oct 4, 2012
Filed:
Mar 30, 2011
Appl. No.:
13/075565
Inventors:
Jack Reese - Lindon UT, US
Shawn Reid - Orem UT, US
Assignee:
Ancestry.com Operations Inc. - Provo UT
International Classification:
A47B 23/00
B23P 11/00
US Classification:
248448, 29428
Abstract:
Various methods and devices involving reprographic copy stands are described. A reprographic copy stand may include a first support element configured to support a first cover of a book at a first plurality of angles. The reprographic copy stand may also include a second support element configured to support a second configured to support a second cover of the book at a second plurality of angles. The reprographic copy stand may include a platform configured to couple with the first support element at a first plurality of positions and the second support element at a second plurality of positions. The distance between the support elements may be variable according to the position of the first support selected from the first plurality of positions and the position of the second support selected from the second plurality of positions such that a plurality of book binding thicknesses are accommodated by the distance.

Multi-Perpendicular Line-Based Deskew With Affine And Perspective Distortion Correction

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US Patent:
20130156344, Jun 20, 2013
Filed:
Dec 14, 2011
Appl. No.:
13/325396
Inventors:
Jack Reese - Lindon UT, US
Shawn Reid - Orem UT, US
Assignee:
Ancestry.com - Provo UT
International Classification:
G06K 9/32
US Classification:
382296
Abstract:
The present invention provides a method of correcting alignment of an image. The method includes identifying an image of a document, and detecting a plurality of lines within the image. The method also includes classifying at least a subset of the plurality of lines as either horizontal or vertical lines, and determining whether a variance exists within a subset of the plurality of lines. Furthermore, the method includes applying a corrective transformation to adjust the image, where the variance within the subset of the plurality of lines is at least partially reduced as compared to the variance prior to the application of the corrective transformation.

Automated Field Position Linking Of Indexed Data To Digital Images

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US Patent:
20140064621, Mar 6, 2014
Filed:
Aug 31, 2012
Appl. No.:
13/601111
Inventors:
Jack Reese - Lindon UT, US
Shawn Reid - Orem UT, US
Laryn Brown - Highland UT, US
Randy Hansen - Lindon UT, US
Mark Oswald - Cedar Hills UT, US
Assignee:
Ancestry.com - Provo UT
International Classification:
G06K 9/46
US Classification:
382190
Abstract:
According to one embodiment, a method of linking a document image with indexed data is provided. The method may be performed by providing a document image, which is a digitized document having various information. Indexed data is also provided, which is a record that includes information extracted from the document image or a different document image. The process is further performed by identifying a feature of the indexed data and analyzing the document image to determine whether the feature is present within the information of the digitized document. The feature may be information or a characteristic defined by the information extracted from the document image or the different document image. If the feature is present within the information of the digitized document, a determination is made that the indexed data corresponds with the document image and the indexed data is linked with the document image.

Clustering Historical Images Using A Convolutional Neural Net And Labeled Data Bootstrapping

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US Patent:
20210150262, May 20, 2021
Filed:
Jan 26, 2021
Appl. No.:
17/158801
Inventors:
- Lehi UT, US
Michael Murdock - Lehi UT, US
Jack Reese - Lindon UT, US
Shawn Reid - Orem UT, US
Assignee:
Ancestry.com Operations Inc. - Lehi UT
International Classification:
G06K 9/62
Abstract:
Systems and methods for classifying historical images. A feature extractor may create feature vectors corresponding to a plurality of images. A first classification of the plurality of images may be performed based on the plurality of feature vectors, which may include assigning a label to each of the plurality of images and assigning a probability for each of the assigned labels. The assigned probability for each of the assigned labels may be related to a statistical confidence that a particular assigned label is correctly assigned to a particular image. A subset of the plurality of images may be displayed to a display device. An input corresponding to replacement of an incorrect label with a corrected label for a certain image may be received from a user. A second classification of the plurality of images based on the input from the user may be performed.

Clustering Historical Images Using A Convolutional Neural Net And Labeled Data Bootstrapping

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US Patent:
20190251392, Aug 15, 2019
Filed:
Apr 29, 2019
Appl. No.:
16/397114
Inventors:
- Lehi UT, US
Michael Murdock - Lehi UT, US
Jack Reese - Lindon UT, US
Shawn Reid - Orem UT, US
Assignee:
Ancestry.com Operations Inc. - Lehi UT
International Classification:
G06K 9/62
Abstract:
Systems and methods for classifying historical images. A feature extractor may create feature vectors corresponding to a plurality of images. A first classification of the plurality of images may be performed based on the plurality of feature vectors, which may include assigning a label to each of the plurality of images and assigning a probability for each of the assigned labels. The assigned probability for each of the assigned labels may be related to a statistical confidence that a particular assigned label is correctly assigned to a particular image. A subset of the plurality of images may be displayed to a display device. An input corresponding to replacement of an incorrect label with a corrected label for a certain image may be received from a user. A second classification of the plurality of images based on the input from the user may be performed.

Clustering Historical Images Using A Convolutional Neural Net And Labeled Data Bootstrapping

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US Patent:
20180181843, Jun 28, 2018
Filed:
Dec 28, 2016
Appl. No.:
15/393008
Inventors:
- Lehi UT, US
Michael Murdock - Lehi UT, US
Jack Reese - Lindon UT, US
Shawn Reid - Orem UT, US
Assignee:
Ancestry.com Operations Inc. - Lehi UT
International Classification:
G06K 9/62
G06K 9/46
Abstract:
Systems and methods for classifying historical images. A feature extractor may create feature vectors corresponding to a plurality of images. A first classification of the plurality of images may be performed based on the plurality of feature vectors, which may include assigning a label to each of the plurality of images and assigning a probability for each of the assigned labels. The assigned probability for each of the assigned labels may be related to a statistical confidence that a particular assigned label is correctly assigned to a particular image. A subset of the plurality of images may be displayed to a display device. An input corresponding to replacement of an incorrect label with a corrected label for a certain image may be received from a user. A second classification of the plurality of images based on the input from the user may be performed.
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Shawn F Reid from Orem, UT, age ~69 Get Report