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Marian Bartlett

In the United States, there are 48 individuals named Marian Bartlett spread across 29 states, with the largest populations residing in California, Pennsylvania, Florida. These Marian Bartlett range in age from 57 to 96 years old. Some potential relatives include Jeanne Stewart, Carroll Stewart, Marian Bartlett. You can reach Marian Bartlett through various email addresses, including paulr***@hotmail.com, tbartl***@crosswinds.net. The associated phone number is 812-275-7709, along with 6 other potential numbers in the area codes corresponding to 662, 714, 479. For a comprehensive view, you can access contact details, phone numbers, addresses, emails, social media profiles, arrest records, photos, videos, public records, business records, resumes, CVs, work history, and related names to ensure you have all the information you need.
Last updated Jan 13, 2024
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Marian S Bartlett , Age 57
Del Mar, CA
Also known as:
Marian Stewart Bartlett
Marian B Stewart
Marian I Stewart
Marian I Bar
Has lived in:
Del Mar, CA
La Jolla, CA
Boone, IA
Tiverton, RI
Related to:
Thomas Stewart, 82
Carroll Stewart, 83
Marian Bartlett, 59
Nigel Bartlett, 58
Phone number:
714-404-****
PhoneAddress
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Marian S Bartlett , Age 89
Walnut, MS
Also known as:
Marian G Bartlett
Marian S Bartlen
Has lived in:
Walnut, MS
Corinth, MS
Related to:
Jon Moraga, 33
Earnest Price, 80
Jeff Price
William Bartlett, 53
Phone number:
662-223-****
PhoneAddress
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Marian K Bartlett , Age 84
Bedford, IN
Also known as:
Marion A Bartlett
Marian K Barlett
Marian K Bortlett
Has lived in:
Bedford, IN
Fort Myers, FL
Heltonville, IN
Related to:
Roger Bartlett, 58
Phone number:
812-275-****
239-454-****
PhoneAddress
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Marian E Bartlett , Age 93
Russellville, AR
Also known as:
Marian Bartlett
Marian E Barlett
Marian E Bartler
Has lived in:
Russellville, AR
Related to:
Harold Bartlett
Tanna Bartlett
Phone number:
479-968-****
479-970-****
PhoneAddress
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Marian L Bartlett , Age 95
Exton, PA
Also known as:
Marian Bartlett
Has lived in:
Exton, PA
Downingtown, PA
West Chester, PA
Chester, PA
Related to:
Marietta Ware, 65
Lauryn Bartlett, 21
Phone number:
610-363-****
PhoneAddress
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Marian L Bartlett , Age 59
Foley, AL
Also known as:
Leigh M Bartlett
Marion L Bartlett
Marian Casey
Leigh Gorfido
Has lived in:
Foley, AL
Louise, TX
Gulf Shores, AL
Victoria, TX
Related to:
Jordana Bartlett, 59
Leigh Bartlett
Robert Bartlett
Chris Bartlett, 60
PhoneAddress
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Marian D Bartlett , Age 62
Thornton, CO
Also known as:
Jeff Bartlett
Mrian Bartlett
Marian Barlett
Has lived in:
Thornton, CO
Anaheim, CA
La Habra, CA
Fullerton, CA
Related to:
Michael Francis, 74
Jeffery Bartlett, 65
Russell Bartlett
Sarah Bartlett, 33
PhoneAddress
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Marian L Bartlett , Age 96
Gresham, OR
Also known as:
Mickey Bartlett
Maria N Bartlett
Marian L Artlett
Marrian L Barlett
Has lived in:
Gresham, OR
Related to:
Mickey Bartlett, 73
William Bartlett
PhoneAddress
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Marian H Bartlett , Age 73
Kirkland, WA
Has lived in:
Kirkland, WA
PhoneAddress
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Marian R Bartlett  Deceased
Sarasota, FL
Also known as:
Marion R Bartlett
Maria N Bartlett
Has lived in:
Sarasota, FL
Venice, FL
Union, NJ
Nokomis, FL
Related to:
M Bartlett, 105
PhoneAddress
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Public information about Marian Bartlett

Phones & Addresses

Name
Addresses
Phones
Marian I Bartlett
9811 Piper Rd, Ashley, OH 43003
740-747-2387
Marian L Bartlett
2905 Palmquist Rd, Happy Valley, OR 97080
503-665-3605
Marian Bartlett
3295 Thundercloud Dr, Lake Havasu City, AZ 86406
Marian L Bartlett
765 Mount Hood Hwy, Happy Valley, OR 97080
Marian M Bartlett
744 Heavenly Ln, Cincinnati, OH 45238
513-451-3333
Marian W Bartlett
4300 Purdue Dr, Metairie, LA 70003
Marian P Bartlett
11349 Elliot Ave NW, Maple Lake, MN 55358
320-963-5735
Marian R Bartlett
1099 Riggs St, Port Charlotte, FL 33952
941-629-7132
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Publications

Us Patents

Automatic Analysis Of Rapport

US Patent:
2014031, Oct 23, 2014
Filed:
Feb 20, 2014
Appl. No.:
14/185918
Inventors:
- San Diego CA, US
Marian Steward BARTLETT - San Diego CA, US
Ian FASEL - San Diego CA, US
Gwen Ford LITTLEWORT - Solana Beach CA, US
Joshua SUSSKIND - La Jolla CA, US
Jacob WHITEHILL - Cambridge MA, US
Assignee:
Emotient - San Diego CA
International Classification:
G06K 9/00
G06K 9/62
US Classification:
382155
Abstract:
In selected embodiments, one or more wearable mobile devices provide videos and other sensor data of one or more participants in an interaction, such as a customer service or a sales interaction between a company employee and a customer. A computerized system uses machine learning expression classifiers, temporal filters, and a machine learning function approximator to estimate the quality of the interaction. The computerized system may include a recommendation selector configured to select suggestions for improving the current interaction and/or future interactions, based on the quality estimates and the weights of the machine learning approximator.

Collection Of Machine Learning Training Data For Expression Recognition

US Patent:
2014032, Oct 30, 2014
Filed:
Feb 10, 2014
Appl. No.:
14/177174
Inventors:
- San Diego CA, US
Marian Steward BARTLETT - San Diego CA, US
Ian FASEL - San Diego CA, US
Gwen Ford LITTLEWORT - Solana Beach CA, US
Joshua SUSSKIND - La Jolla CA, US
Jacob WHITEHILL - Cambridge MA, US
Assignee:
EMOTIENT - San Diego CA
International Classification:
G06K 9/00
US Classification:
382159
Abstract:
Apparatus, methods, and articles of manufacture for implementing crowdsourcing pipelines that generate training examples for machine learning expression classifiers. Crowdsourcing providers actively generate images with expressions, according to cues or goals. The cues or goals may be to mimic an expression or appear in a certain way, or to “break” an existing expression recognizer. The images are collected and rated by same or different crowdsourcing providers, and the images that meet a first quality criterion are then vetted by expert(s). The vetted images are then used as positive or negative examples in training machine learning expression classifiers.

Weak Hypothesis Generation Apparatus And Method, Learning Apparatus And Method, Detection Apparatus And Method, Facial Expression Learning Apparatus And Method, Facial Expression Recognition Apparatus And Method, And Robot Apparatus

US Patent:
7587069, Sep 8, 2009
Filed:
Mar 7, 2008
Appl. No.:
12/075080
Inventors:
Javier R. Movellan - La Jolla CA, US
Marian S. Bartlett - La Jolla CA, US
Gwendolen C. Littlewort - La Jolla CA, US
John Hershey - La Jolla CA, US
Ian R. Fasel - La Jolla CA, US
Eric C. Carlson - La Jolla CA, US
Josh Susskind - La Jolla CA, US
Kohtaro Sabe - Tokyo, JP
Kenta Kawamoto - Tokyo, JP
Kenichi Hidai - Tokyo, JP
Assignee:
Sony Corporation - Tokyo
San Diego, University of California - Oakland CA
International Classification:
G06K 9/00
US Classification:
382118, 382155, 382224, 706 12, 706 25
Abstract:
A facial expression recognition system that uses a face detection apparatus realizing efficient learning and high-speed detection processing based on ensemble learning when detecting an area representing a detection target and that is robust against shifts of face position included in images and capable of highly accurate expression recognition, and a learning method for the system, are provided. When learning data to be used by the face detection apparatus by Adaboost, processing to select high-performance weak hypotheses from all weak hypotheses, then generate new weak hypotheses from these high-performance weak hypotheses on the basis of statistical characteristics, and select one weak hypothesis having the highest discrimination performance from these weak hypotheses, is repeated to sequentially generate a weak hypothesis, and a final hypothesis is thus acquired. In detection, using an abort threshold value that has been learned in advance, whether provided data can be obviously judged as a non-face is determined every time one weak hypothesis outputs the result of discrimination. If it can be judged so, processing is aborted.

Collection Of Machine Learning Training Data For Expression Recognition

US Patent:
2015018, Jul 2, 2015
Filed:
Mar 12, 2015
Appl. No.:
14/656687
Inventors:
- San Diego CA, US
Marian Steward BARTLETT - San Diego CA, US
Ian FASEL - San Diego CA, US
Gwen Ford LITTLEWORT - Solana Beach CA, US
Joshua SUSSKIND - La Jolla CA, US
Jacob WHITEHILL - Cambridge MA, US
Assignee:
EMOTIENT - San Diego CA
International Classification:
G06K 9/00
G06K 9/62
G06K 9/03
Abstract:
Apparatus, methods, and articles of manufacture for implementing crowdsourcing pipelines that generate training examples for machine learning expression classifiers. Crowdsourcing providers actively generate images with expressions, according to cues or goals. The cues or goals may be to mimic an expression or appear in a certain way, or to “break” an existing expression recognizer. The images are collected and rated by same or different crowdsourcing providers, and the images that meet a first quality criterion are then vetted by expert(s). The vetted images are then used as positive or negative examples in training machine learning expression classifiers.

Automatic Analysis Of Rapport

US Patent:
2015028, Oct 8, 2015
Filed:
Jun 18, 2015
Appl. No.:
14/742711
Inventors:
- San Diego CA, US
Marian Steward BARTLETT - San Diego CA, US
Ian FASEL - San Diego CA, US
Gwen Ford LITTLEWORT - Solana Beach CA, US
Joshua SUSSKIND - La Jolla CA, US
Jacob WHITEHILL - Cambridge MA, US
Assignee:
Emotient - San Diego CA
International Classification:
G06Q 30/02
G06K 9/00
G06N 99/00
Abstract:
In selected embodiments, one or more wearable mobile devices provide videos and other sensor data of one or more participants in an interaction, such as a customer service or a sales interaction between a company employee and a customer. A computerized system uses machine learning expression classifiers, temporal filters, and a machine learning function approximator to estimate the quality of the interaction. The computerized system may include a recommendation selector configured to select suggestions for improving the current interaction and/or future interactions, based on the quality estimates and the weights of the machine learning approximator.

Weak Hypothesis Generation Apparatus And Method, Learning Apparatus And Method, Detection Apparatus And Method, Facial Expression Learning Apparatus And Method, Facial Expression Recognition Apparatus And Method, And Robot Apparatus

US Patent:
7624076, Nov 24, 2009
Filed:
Mar 7, 2008
Appl. No.:
12/074931
Inventors:
Javier R. Movellan - La Jolla CA, US
Marian S. Bartlett - La Jolla CA, US
Gwendolen C. Littlewort - La Jolla CA, US
John Hershey - La Jolla CA, US
Ian R. Fasel - La Jolla CA, US
Eric C. Carlson - La Jolla CA, US
Josh Susskind - La Jolla CA, US
Kohtaro Sabe - Tokyo, JP
Kenta Kawamoto - Tokyo, JP
Kenichi Hidai - Tokyo, JP
Assignee:
Sony Corporation - Tokyo
University of California, San Diego - Oakland CA
International Classification:
G06N 5/00
US Classification:
706 12, 706 45, 706 15
Abstract:
A facial expression recognition system that uses a face detection apparatus realizing efficient learning and high-speed detection processing based on ensemble learning when detecting an area representing a detection target and that is robust against shifts of face position included in images and capable of highly accurate expression recognition, and a learning method for the system, are provided. When learning data to be used by the face detection apparatus by Adaboost, processing to select high-performance weak hypotheses from all weak hypotheses, then generate new weak hypotheses from these high-performance weak hypotheses on the basis of statistical characteristics, and select one weak hypothesis having the highest discrimination performance from these weak hypotheses, is repeated to sequentially generate a weak hypothesis, and a final hypothesis is thus acquired. In detection, using an abort threshold value that has been learned in advance, whether provided data can be obviously judged as a non-face is determined every time one weak hypothesis outputs the result of discrimination. If it can be judged so, processing is aborted.

Collection Of Machine Learning Training Data For Expression Recognition

US Patent:
2018001, Jan 11, 2018
Filed:
Sep 25, 2017
Appl. No.:
15/714486
Inventors:
- San Diego CA, US
Marian Stewart BARTLETT - San Diego CA, US
Ian FASEL - San Diego CA, US
Gwen Ford LITTLEWORT - Solana Beach CA, US
Joshua SUSSKIND - La Jolla CA, US
Jacob WHITEHILL - Cambridge MA, US
Assignee:
Emotient, Inc. - San Diego CA
International Classification:
G06K 9/00
G06K 9/03
G06K 9/62
Abstract:
Apparatus, methods, and articles of manufacture for implementing crowdsourcing pipelines that generate training examples for machine learning expression classifiers. Crowdsourcing providers actively generate images with expressions, according to cues or goals. The cues or goals may be to mimic an expression or appear in a certain way, or to “break” an existing expression recognizer. The images are collected and rated by same or different crowdsourcing providers, and the images that meet a first quality criterion are then vetted by expert(s). The vetted images are then used as positive or negative examples in training machine learning expression classifiers.

Automated Facial Action Coding System

US Patent:
2010008, Apr 8, 2010
Filed:
Aug 26, 2009
Appl. No.:
12/548294
Inventors:
Marian Steward Bartlett - San Diego CA, US
Javier Movellan - La Jolla CA, US
Ian Fasel - Tucson AZ, US
Mark Frank - East Amherst NY, US
International Classification:
G06K 9/62
G06K 9/48
US Classification:
382197, 382224
Abstract:
An automatic facial action coding system and method can include processing an image to identify a face in the image, to detect and align one or more facial features shown in the image, and to define one or more windows on the image. One or more distributions of pixels and color intensities can be quantified in each of the one or more windows to derive one or more two-dimensional intensity distributions of one or more colors within the window. The one or more two-dimensional intensity distributions can be processed to select image features appearing in the one or more windows and to classify one or more predefined facial actions on the face in the image. A facial action code score that includes a value indicating a relative amount of the predefined facial action occurring in the face in the image can be determined for the face in the image for each of the one or more predefined facial actions.

FAQ: Learn more about Marian Bartlett

How old is Marian Bartlett?

Marian Bartlett is 57 years old.

What is Marian Bartlett date of birth?

Marian Bartlett was born on 1966.

What is Marian Bartlett's email?

Marian Bartlett has such email addresses: paulr***@hotmail.com, tbartl***@crosswinds.net. Note that the accuracy of these emails may vary and they are subject to privacy laws and restrictions.

What is Marian Bartlett's telephone number?

Marian Bartlett's known telephone numbers are: 812-275-7709, 662-223-4782, 714-404-3698, 479-970-5081, 310-834-4791, 310-548-1857. However, these numbers are subject to change and privacy restrictions.

How is Marian Bartlett also known?

Marian Bartlett is also known as: Marian Stewart Bartlett, Marian B Stewart, Marian I Stewart, Marian I Bar, Marian S Bart, Marian S Bartl, Marian S Bartlet. These names can be aliases, nicknames, or other names they have used.

Who is Marian Bartlett related to?

Known relatives of Marian Bartlett are: Jeanne Stewart, Thomas Stewart, Carroll Stewart, Marian Bartlett, Nigel Bartlett, Cynthia Dwyer. This information is based on available public records.

What are Marian Bartlett's alternative names?

Known alternative names for Marian Bartlett are: Jeanne Stewart, Thomas Stewart, Carroll Stewart, Marian Bartlett, Nigel Bartlett, Cynthia Dwyer. These can be aliases, maiden names, or nicknames.

What is Marian Bartlett's current residential address?

Marian Bartlett's current known residential address is: 1108 Highland Dr, Del Mar, CA 92014. Please note this is subject to privacy laws and may not be current.

What are the previous addresses of Marian Bartlett?

Previous addresses associated with Marian Bartlett include: 3295 Thundercloud Dr, Lk Havasu Cty, AZ 86406; 260 County Road 261, Walnut, MS 38683; 1108 Highland Dr, Del Mar, CA 92014; 731 Glenlake Dr, Placentia, CA 92870; 4300 Purdue Dr, Metairie, LA 70003. Remember that this information might not be complete or up-to-date.

Where does Marian Bartlett live?

Del Mar, CA is the place where Marian Bartlett currently lives.

Possible Relatives

Cynthia Bartlett Dawn Bartlett Dean Bartlett Deanna Bartlett Dale Bartlett Debbie Bartlett Debora Bartlett Marian Johnston Marian White Marian Stanley

Marian Bartlett from other States

California Florida

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