Stephen M Thompson

US Patent:

20130041863, Feb 14, 2013

Filed:

Oct 18, 2012

Appl. No.:

13/655267

Inventors:

Jan W. Amtrup - Takoma Park MD, US
Stephen Michael Thompson - Oceanside CA, US
Anthony Sarah - San Diego CA, US

Assignee:

KOFAX, INC. - Irvine CA

International Classification:

G06N 5/02

US Classification:

706 46

Abstract:

A method is provided for organizing data sets. In use, an automatic decision system is created or updated for determining whether data elements fit a predefined organization or not, where the decision system is based on a set of preorganized data elements. A plurality of data elements is organized using the decision system. At least one organized data element is selected for output to a user based on a score or confidence from the decision system for the at least one organized data element. Additionally, at least a portion of the at least one organized data element is output to the user. A response is received from the user comprising at least one of a confirmation, modification, and a negation of the organization of the at least: one organized data element. The automatic decision system is recreated or updated based on the user response. Other embodiments are also presented.

US Patent:

56524099, Jul 29, 1997

Filed:

Feb 23, 1996

Appl. No.:

8/605816

Inventors:

Stephen B. Thompson - Sterling VA
John L. Goodwin - Springfield VA
Albert T. Camp - Welcome MD

Assignee:

The United States of America as represented by the Secretary of the Navy - Washington DC

International Classification:

C06B 4510
C06B 2526

US Classification:

149 98

Abstract:

Double base propellants having a mixture of bismuth and copper salts of hydroxy-substituted benzoic acids added as burning rate (ballistic) modifiers.

US Patent:

20190158294, May 23, 2019

Filed:

Nov 16, 2018

Appl. No.:

16/193329

Inventors:

- Wilmington DE, US
Stephen Thompson - Falls Church VA, US

International Classification:

H04L 9/32
H04L 9/30
H04L 9/14
H04L 9/08

Abstract:

In one embodiment, the present disclosure is directed to a system for digital authentication, the system including a server and a device. The device includes a first processor and a second processor separate and distinct from the first processor and dedicated solely to security functionality. The second processor is programmed to generate a public key and a private key, and to use the private key and to-be-signed signature data to generate digital signatures, including a first digital signature. The device transmits the public key and the first digital signature to the server. The server stores the public key to uniquely identify the device or a user of the device in subsequent communications between the server and device.

US Patent:

20180178606, Jun 28, 2018

Filed:

Dec 23, 2016

Appl. No.:

15/389737

Inventors:

- Bethesda MD, US
Nicholas S. ASSEFF - Bethesda MD, US
Brian N. FISK - Bethesda MD, US
Stephen M. THOMPSON - Bethesda MD, US

International Classification:

B60D 1/62
B63B 27/00

Abstract:

Systems, apparatus, and methods for interconnecting two vehicles for the purposes of physical integration, data transfer and/or fluid transfer between the two vehicles. In one example, a system can include a carriage assembly that is deployable from the first vehicle for engagement with the second vehicle. The carriage assembly includes a nesting frame that stabilizes pitch, roll and yaw movements to the second vehicle. A transfer probe assembly is connected to the nesting frame and is deployable together with the nesting frame from the first vehicle. The transfer probe assembly includes a probe that is engageable with the second vehicle at the engaged position and at least one transfer mechanism that can transfer fluid, data, and/or power through the transfer probe assembly between the first vehicle and the second vehicle.

US Patent:

20170329838, Nov 16, 2017

Filed:

Aug 1, 2017

Appl. No.:

15/666409

Inventors:

- Irvine CA, US
Jan W. Amtrup - Silver Spring MD, US
Stephen Michael Thompson - Oceanside CA, US
Anthony Sarah - San Diego CA, US

International Classification:

G06F 17/30
G06F 17/30
G06F 17/30
G06N 99/00

Abstract:

According to one embodiment, a computer-implemented method for cleaning up a data set having a possible incorrect label includes: selecting a plurality of training documents; estimating a quality of an organization of a plurality of categories; and determining whether the quality of the organization is greater than a predetermined quality threshold. Corresponding system and computer program product embodiments are also presented. Other aspects and advantages of the present invention will become apparent from the following detailed description, which, when taken in conjunction with the drawings, illustrate by way of example the principles of the invention.

US Patent:

20170140030, May 18, 2017

Filed:

Feb 1, 2017

Appl. No.:

15/422435

Inventors:

- Irvine CA, US
Jan W. Amtrup - Silver Spring MD, US
Stephen Michael Thompson - Oceanside CA, US
Anthony Sarah - San Diego CA, US

International Classification:

G06F 17/30

Abstract:

According to one embodiment, a computer-implemented method for confirming/rejecting a most relevant example includes: generating a binary decision model by training a binary classifier using a plurality of training documents; classifying one or more test documents into one of a plurality of categories using the binary decision model, wherein the one or more test documents lack a user-defined category label; selecting a most relevant example of the classified test documents from among the classified test documents; displaying, using a display of the computer, the most relevant example of the classified test documents to a user; receiving, via the computer and from the user, a confirmation or a negation of a classification label of the most relevant example of the classified test documents; and storing the confirmation or the negation of the classification label of the most relevant example of the classified test documents to a memory of the computer.

US Patent:

20170109610, Apr 20, 2017

Filed:

Dec 30, 2016

Appl. No.:

15/396322

Inventors:

- Irvine CA, US
Jan W. Amtrup - Silver Spring MD, US
Stephen Michael Thompson - Oceanside CA, US

International Classification:

G06K 9/62
G06K 9/00

Abstract:

According to one embodiment, a computer-implemented method is configured for building a classification and/or data extraction knowledge base using an electronic form. The method includes: receiving an electronic form having associated therewith a plurality of metadata labels, each metadata label corresponding to at least one element of interest represented within the electronic form; parsing the plurality of metadata labels to determine characteristic features of the element(s) of interest; building a representation of the electronic form based on the plurality of metadata labels; generating a plurality of permutations of the representation of the electronic form by applying a predetermined set of variations to the representation; and training either a classification model, an extraction model, or both using: the representation of the electronic form, and the plurality of permutations of the representation of the electronic form. Corresponding systems and computer program products are also disclosed.

US Patent:

20150339526, Nov 26, 2015

Filed:

Aug 4, 2015

Appl. No.:

14/818196

Inventors:

- Irvine CA, US
Jan W. Amtrup - Silver Spring MD, US
Jiyong Ma - San Diego CA, US
Alexander Shustorovich - Pittsford NY, US
Christopher W. Thrasher - Rochester NY, US
Stephen Michael Thompson - Oceanside CA, US

International Classification:

G06K 9/00
G06T 7/00

Abstract:

Systems and methods for mobile image data capture and processing are disclosed. The techniques encompass receipt or capture of digital image data, detecting an object such as a document depicted in a digital image corresponding to the digital image data, processing the digital image to improve image quality, classifying the object from the processed image data, and extracting useful information from the object. Processing may improve image quality by correcting artifacts such as distortion, skew, blur, shadows, etc. common to digital images captured using mobile devices. Classification is based on identifying unique features (and/or combinations thereof) within the image data and determining whether the identified features indicate the object belongs to a class of known objects having similar characteristics, or is unique to all known classes. Extraction is based in whole or in part on object classification. All operations may be performed using mobile technology exclusively.