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Timothy S Keefer

from San Jose, CA
Age ~50
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Also known as:
Timothy Samuel Keefer, Tim S Keefer
Related to:
Anna Marie Valdez, 57
Connected to:
Ashkeia Keefer, 39Brad E Keefer, 58Carl F Keefer, 82Carol J Keefer, 81Cheri C Keefer, 52Claud P Keefer, 101Cole Keefer, 27Cory E Keefer, 44Cynthia N Keefer, 41Donald W Keefer, 54

Timothy Keefer Phones & Addresses

  • San Jose, CA
  • 173 Debussy Ter, Sunnyvale, CA 94087 (785) 760-2103
  • Palo Alto, CA
  • Los Gatos, CA
  • Lawrence, KS
  • Olathe, KS
  • Saint Louis, MO

Ranks

Licence: Virginia - Authorized to practice law Date: 1998

Professional Records

Lawyers & Attorneys

Timothy Keefer Photo 1

Timothy Joseph Keefer - Lawyer

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Licenses:
Virginia - Authorized to practice law 1998
Timothy Keefer Photo 2

Timothy Keefer - Lawyer

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Specialties:
Election Law
Government Contracts
ISLN:
913874774
Admitted:
1998
University:
State University of New York at Buffalo, B.A., 1988
Law School:
Washington & Lee University, J.D., 1998
Timothy Keefer Photo 3

Timothy Keefer - Lawyer

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Specialties:
Intellectual Property
Litigation
ISLN:
901429061
Admitted:
1991
University:
University of Scranton, B.S., 1986
Law School:
Franklin Pierce Law Center, J.D., 1990

License Records

Timothy J Keefer

License #:
5421 - Expired
Category:
Emergency Medical Care
Issued Date:
Dec 31, 1997
Effective Date:
Sep 24, 1999
Expiration Date:
Dec 31, 2000
Type:
EMT

Timothy J Keefer

License #:
2091 - Expired
Category:
Emergency Medical Care
Issued Date:
Dec 31, 1997
Effective Date:
Mar 8, 1999
Type:
EMT A/D

Timothy J Keefer

License #:
2655 - Expired
Category:
Emergency Medical Care
Issued Date:
Sep 24, 1999
Effective Date:
Sep 1, 2010
Expiration Date:
Dec 31, 2010
Type:
EMT-Paramedic

Timothy J Keefer

License #:
2655 - Expired
Category:
Emergency Medical Care
Issued Date:
Sep 24, 1999
Effective Date:
Jan 5, 2015
Expiration Date:
Dec 31, 2014
Type:
Paramedic

Business Records

Name / Title
Company / Classification
Phones & Addresses
Timothy Keefer
DECISION PATH CONSULTING, LLC

Publications

Us Patents

Nuanced-Color Search And Recommendation System

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US Patent:
20200320333, Oct 8, 2020
Filed:
Jun 12, 2020
Appl. No.:
16/899696
Inventors:
- San Jose CA, US
Niaz Ahamed Khaja Nazimudeen - Fremont CA, US
Padmapriya Gudipati - San Jose CA, US
Timothy Keefer - San Jose CA, US
Fujun Zhong - Saratoga CA, US
Ashmeet Singh Rekhi - Campbell CA, US
Kenneth Crookston - Mlada Boleslav, CZ
Shane Lin - Mountain View CA, US
Suchitra Ramesh - San Jose CA, US
Rodolfo Gonzales - San Francisco CA, US
Atiq Islam - San Jose CA, US
International Classification:
G06K 9/46
G06T 7/90
G06F 16/951
G06F 16/583
Abstract:
Embodiments of the present disclosure provide systems, methods, and computer storage media for implementing a nuanced-color search and recommendation system. Employing various techniques described herein, an improved search engine for categorizable items is provided to generate accurate color-based search results and recommendations that are relevant to a nuanced color provided as a search parameter. In various implementations, digital assets that depict categorizeable items can be analyzed to characterize the depicted items with, among other things, a particular shade of a determined dominant color. In this way, categorizeable items can be searched based at least in part on a selected shade of a particular dominant color to generate a primary search result. In further embodiments, other categorizeable items can be generated as recommendations based on characteristics of the primary search result. That is, other items not necessarily subject of the search, can be provided as recommended items if predefined rules dictate that such items may complement the categorizable items included in the primary search result.

Fashion By Trend User Interfaces

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US Patent:
20200097568, Mar 26, 2020
Filed:
Sep 24, 2018
Appl. No.:
16/140305
Inventors:
- San Jose CA, US
Shane Lin - Mountain View CA, US
Suchitra Ramesh - San Jose CA, US
An Feng-I Chen - Fremont CA, US
Padmapriya Gudipati - San Jose CA, US
Justin Nicholas House - San Jose CA, US
Kenneth Crookston - Mlada Boleslav, CZ
John Weigel - San Jose CA, US
Timothy Keefer - San Jose CA, US
Satya Krishna Suman Voleti - Milpitas CA, US
Zhe Sun - San Jose CA, US
International Classification:
G06F 17/30
G06Q 30/06
Abstract:
Systems and methods for improving a search process are provided. A networked system accesses, from online sources, fashion trend information including pictures illustrating fashion trends. The networked system determines a plurality of top fashion trends, and extracts, using an image detection algorithm, images of fashion items from a picture associated with each of the top fashion trends. Using the extracted images, the networked system performs an image search for matching inventory items. The networked system then generates and stored a plurality of fashion trend user interfaces, whereby the plurality of fashion trend user interfaces each comprise selectable elements that represent the plurality of top fashion trends. At runtime, the networked system receives an indication to initiate a search for fashion by trends, and in response, accesses the plurality of stored fashion trend user interfaces. One of the plurality of stored fashion trend user interfaces is presented on a user device.

Computer Vision And Image Characteristic Search

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US Patent:
20190244271, Aug 8, 2019
Filed:
Apr 18, 2019
Appl. No.:
16/388473
Inventors:
- San Jose CA, US
Timothy Samuel Keefer - San Jose CA, US
Kenneth Clark Crookston - Freiberg, DE
Ashmeet Singh Rekhi - Campbell CA, US
Niaz Ahamed Khaja Nazimudeen - Fremont CA, US
Padmapriya Gudipati - San Jose CA, US
Shane Lin - Mountain View CA, US
John F. Weigel - San Jose CA, US
Fujun Zhong - Saratoga CA, US
Suchitra Ramesh - San Jose CA, US
Mohammadhadi Kiapour - San Francisco CA, US
Shuai Zheng - Berkeley CA, US
Alberto Ordonez Pereira - Santa Clara CA, US
Ravindra Surya Lanka - San Jose CA, US
Md Atiq ul Islam - San Jose CA, US
Nicholas Anthony Whyte - San Jose CA, US
Giridharan Iyengar - San Jose CA, US
Bryan Allen Plummer - Urbana IL, US
Assignee:
eBay Inc. - San Jose CA
International Classification:
G06Q 30/06
G06K 9/62
Abstract:
Computer vision and image characteristic search is described. The described system leverages visual search techniques by determining visual characteristics of objects depicted in images and comparing the determined characteristics to visual characteristics of other images, e.g., to identify similar visual characteristics in the other images. In some aspects, the described system performs searches that leverage a digital image as part of a search query to locate digital content of interest. In some aspects, the described system surfaces multiple user interface instrumentalities that include images of patterns, textures, or materials and that are selectable to initiate a visual search of digital content having a similar pattern, texture, or material. The described aspects also include pattern-based authentication in which the system determines authenticity of an item in an image based on a similarity of its visual characteristics to visual characteristics of known authentic items.

Computer Vision For Unsuccessful Queries And Iterative Search

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US Patent:
20190205333, Jul 4, 2019
Filed:
Dec 28, 2018
Appl. No.:
16/235290
Inventors:
- San Jose CA, US
Timothy Samuel Keefer - San Jose CA, US
Ashmeet Singh Rekhi - Campbell CA, US
Padmapriya Gudipati - San Jose CA, US
Mohammadhadi Kiapour - San Francisco CA, US
Shuai Zheng - Berkeley CA, US
Alberto Ordonez Pereira - Santa Clara CA, US
Ravindra Surya Lanka - San Jose CA, US
Md Atiq ul Islam - San Jose CA, US
Nicholas Anthony Whyte - San Jose CA, US
Giridharan Iyengar - San Jose CA, US
Bryan Allen Plummer - Urbana IL, US
Assignee:
eBay Inc. - San Jose CA
International Classification:
G06F 16/532
G06K 9/66
G06F 16/538
G06F 16/9535
Abstract:
Computer vision for unsuccessful queries and iterative search is described. The described system leverages visual search techniques by determining visual characteristics of objects depicted in images and describing them, e.g., using feature vectors. In some aspects, these visual characteristics are determined for search queries that are identified as not being successful. Aggregated information describing visual characteristics of images of unsuccessful search queries is used to determine common visual characteristics and objects depicted in those images. This information can be used to inform other users about unmet needs of searching users. In some aspects, these visual characteristics are used in connection with iterative image searches where users select an initial query image and then the search results are iteratively refined. Unlike conventional techniques, the described system iteratively refines the returned search results using an embedding space learned from binary attribute labels describing images.

Computer Vision, User Segment, And Missing Item Determination

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US Patent:
20190205646, Jul 4, 2019
Filed:
Dec 28, 2018
Appl. No.:
16/235007
Inventors:
- San Jose CA, US
Timothy Samuel Keefer - San Jose CA, US
Ashmeet Singh Rekhi - Campbell CA, US
Padmapriya Gudipati - San Jose CA, US
Mohammadhadi Kiapour - San Francisco CA, US
Shuai Zheng - Berkeley CA, US
Md Atiq ul Islam - San Jose CA, US
Nicholas Anthony Whyte - San Jose CA, US
Giridharan Iyengar - San Jose CA, US
Assignee:
eBay Inc. - San Jose CA
International Classification:
G06K 9/00
G06N 20/00
G06F 3/01
G06F 16/583
Abstract:
Techniques and systems are described that leverage computer vision as part of search to expand functionality of a computing device available to a user and increase operational computational efficiency as well as efficiency in user interaction. In a first example, user interaction with items of digital content is monitored. Computer vision techniques are used to identify digital images in the digital content, objects within the digital images, and characteristics of those objects. This information is used to assign a user to a user segment of a user population which is then used to control output of subsequent digital content to the user, e.g., recommendations, digital marketing content, and so forth.

Computer Vision And Image Characteristic Search

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US Patent:
20190205962, Jul 4, 2019
Filed:
Dec 28, 2018
Appl. No.:
16/235140
Inventors:
- San Jose CA, US
Timothy Samuel Keefer - San Jose CA, US
Kenneth Clark Crookston - Freiberg, DE
Ashmeet Singh Rekhi - Campbell CA, US
Niaz Ahamed Khaja Nazimudeen - Fremont CA, US
Padmapriya Gudipati - San Jose CA, US
Shane Lin - Mountain View CA, US
John F. Weigel - San Jose CA, US
Fujun Zhong - Saratoga CA, US
Suchitra Ramesh - San Jose CA, US
Mohammadhadi Kiapour - San Francisco CA, US
Shuai Zheng - Berkeley CA, US
Alberto Ordonez Pereira - Santa Clara CA, US
Ravindra Surya Lanka - San Jose CA, US
Md Atiq ul Islam - San Jose CA, US
Nicholas Anthony Whyte - San Jose CA, US
Giridharan Iyengar - San Jose CA, US
Bryan Allen Plummer - Urbana IL, US
Assignee:
eBay Inc. - San Jose CA
International Classification:
G06Q 30/06
G06K 9/62
Abstract:
Computer vision and image characteristic search is described. The described system leverages visual search techniques by determining visual characteristics of objects depicted in images and comparing the determined characteristics to visual characteristics of other images, e.g., to identify similar visual characteristics in the other images. In some aspects, the described system performs searches that leverage a digital image as part of a search query to locate digital content of interest. In some aspects, the described system surfaces multiple user interface instrumentalities that include images of patterns, textures, or materials and that are selectable to initiate a visual search of digital content having a similar pattern, texture, or material. The described aspects also include pattern-based authentication in which the system determines authenticity of an item in an image based on a similarity of its visual characteristics to visual characteristics of known authentic items.

Nuanced-Color Search And Recommendation System

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US Patent:
20190080198, Mar 14, 2019
Filed:
Dec 8, 2017
Appl. No.:
15/836260
Inventors:
- San Jose CA, US
Niaz Ahamed Khaja Nazimudeen - Fremont CA, US
Padmapriya Gudipati - San Jose CA, US
Timothy Keefer - San Jose CA, US
Fujun Zhong - Saratoga CA, US
Ashmeet Singh Rekhi - Campbell CA, US
Kenneth Crookston - Mlada Boleslav, CZ
Shane Lin - Mountain View CA, US
Suchitra Ramesh - San Jose CA, US
Rodolfo Gonzales - San Francisco CA, US
Atiq Islam - San Jose CA, US
International Classification:
G06K 9/46
G06F 17/30
G06T 7/90
Abstract:
Embodiments of the present disclosure provide systems, methods, and computer storage media for implementing a nuanced-color search and recommendation system. Employing various techniques described herein, an improved search engine for categorizable items is provided to generate accurate color-based search results and recommendations that are relevant to a nuanced color provided as a search parameter. In various implementations, digital assets that depict categorizeable items can be analyzed to characterize the depicted items with, among other things, a particular shade of a determined dominant color. In this way, categorizeable items can be searched based at least in part on a selected shade of a particular dominant color to generate a primary search result. In further embodiments, other categorizeable items can be generated as recommendations based on characteristics of the primary search result. That is, other items not necessarily subject of the search, can be provided as recommended items if predefined rules dictate that such items may complement the categorizable items included in the primary search result.
Control profile
Timothy S Keefer from San Jose, CA, age ~50 Get Report