Patents by Inventor Cédric Philippe Charles Jean Ghislain Archambeau

Cédric Philippe Charles Jean Ghislain Archambeau has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Patent number: 10242381
    Abstract: Technologies for optimized selection of content for delivery to a user that both optimizes the expected return from the delivery of the content to the user and that enables exploration of delivery of new content to users are disclosed. Content is selected for delivery to a user based on an exploitation score that defines an estimate of the feedback expected from the delivery of the content to the user and an exploration score that varies inversely with the number of times that the content has been transmitted to all users. The use of the exploration score enables the exploration of delivery of new content to users. The content might be delivered via e-mail messages, a web site, or using another mechanism.
    Type: Grant
    Filed: March 18, 2015
    Date of Patent: March 26, 2019
    Assignee: Amazon Technologies, Inc.
    Inventors: Giovanni Zappella, Cedric Philippe Charles Jean Ghislain Archambeau
  • Patent number: 10099381
    Abstract: Described are techniques for storing and retrieving items using a robotic device for moving items. Any combinations of image data depicting a manipulator interacting with an item, sensor data from sensors instrumenting the manipulator or item, item data regarding characteristics of the item, and constraint data relating to characteristics of the robotic device may be used to generate one or more configurations for the robotic device. The configurations may include points of contact and force vectors for contacting the item using the robotic device.
    Type: Grant
    Filed: July 17, 2017
    Date of Patent: October 16, 2018
    Assignee: AMAZON TECHNOLOGIES, INC.
    Inventors: Pradeep Krishna Yarlagadda, Cédric Philippe Charles Jean Ghislain Archambeau, James Christopher Curlander, Michael Donoser, Ralf Herbrich, Barry James O'Brien, Marshall Friend Tappen
  • Patent number: 9892133
    Abstract: A system that verifies the attributes included in the description of an item using artificial intelligence is provided. For example, the system may use a feature extractor to identify color, shape, and/or texture features of a provided image. The system may then use a linear classifier to process the extracted features to identify attributes of the item depicted in the image. The system may compare the identified attributes with the attributes listed in the item's description. If there are any discrepancies, the system may revise the item description to include the identified attributes or provide suggested revisions to a user based on the identified attributes.
    Type: Grant
    Filed: March 13, 2015
    Date of Patent: February 13, 2018
    Assignee: Amazon Technologies, Inc.
    Inventors: Felix Biessmann, Cédric Philippe Charles Jean Ghislain Archambeau, Charles Shearer Dorner, Karl Anders Gyllstrom, Robert Yuji Haitani, Aengus Gabriel Martin
  • Patent number: 9731420
    Abstract: Described are techniques for storing and retrieving items using a robotic manipulator. Images depicting a human interacting with an item, sensor data from sensors instrumenting the human or item, data regarding physical characteristics of the item, and constraint data relating to the robotic manipulator or the item may be used to generate one or more configurations for the robotic manipulator. The configurations may include points of contact and force vectors for contacting the item using the robotic manipulator.
    Type: Grant
    Filed: May 26, 2016
    Date of Patent: August 15, 2017
    Assignee: Amazon Technologies, Inc.
    Inventors: Pradeep Krishna Yarlagadda, Cédric Philippe Charles Jean Ghislain Archambeau, James Christopher Curlander, Michael Donoser, Ralf Herbrich, Barry James O'Brien, Marshall Friend Tappen
  • Patent number: 9542654
    Abstract: In multi-view learning, optimized prediction matrices are determined for V?2 views of n objects, and a prediction of a view of an object is generated based on the optimized prediction matrix for that view. An objective is optimized, wherein is a set of parameters including at least the V prediction matrices and a concatenated matrix comprising a concatenation of the prediction matrices, and comprises a sum including at least a loss function for each view, a trace norm of the prediction matrix for each view, and a trace norm of the concatenated matrix. may further include a sparse matrix for each view, with further including an element-wise norm of the sparse matrix for each view. may further include regularization parameters scaling the trace norms of the prediction matrices and the trace norm of the concatenated matrix.
    Type: Grant
    Filed: July 24, 2014
    Date of Patent: January 10, 2017
    Assignee: XEROX CORPORATION
    Inventors: Guillaume Bouchard, Cedric Philippe Charles Jean Ghislain Archambeau, Behrouz Behmardi
  • Patent number: 9381645
    Abstract: Described are techniques for storing and retrieving items using a robotic manipulator. Images depicting a human interacting with an item, sensor data from sensors instrumenting the human or item, data regarding physical characteristics of the item, and constraint data relating to the robotic manipulator may be used to generate one or more configurations for the robotic manipulator. Points of contact and force vectors of the configurations may correspond to the points of contact and force vectors determined from the images and sensor data.
    Type: Grant
    Filed: December 8, 2014
    Date of Patent: July 5, 2016
    Assignee: Amazon Technologies, Inc.
    Inventors: Pradeep Krishna Yarlagadda, Cédric Philippe Charles Jean Ghislain Archambeau, James Christopher Curlander, Michael Donoser, Ralf Herbrich, Barry James O'Brien, Marshall Friend Tappen
  • Publication number: 20160026925
    Abstract: In multi-view learning, optimized prediction matrices are determined for V?2 views of n objects, and a prediction of a view of an object is generated based on the optimized prediction matrix for that view. An objective is optimized, wherein is a set of parameters including at least the V prediction matrices and a concatenated matrix comprising a concatenation of the prediction matrices, and comprises a sum including at least a loss function for each view, a trace norm of the prediction matrix for each view, and a trace norm of the concatenated matrix. may further include a sparse matrix for each view, with further including an element-wise norm of the sparse matrix for each view. may further include regularization parameters scaling the trace norms of the prediction matrices and the trace norm of the concatenated matrix.
    Type: Application
    Filed: July 24, 2014
    Publication date: January 28, 2016
    Inventors: Guillaume Bouchard, Cedric Philippe Charles Jean Ghislain Archambeau, Behrouz Behmardi