公开(公告)号：US08873838B2

公开(公告)日：2014-10-28

申请号：US13804257

申请日：2013-03-14

Applicant: Google Inc.

Inventor： Mustafa Suleyman ,  Benjamin Kenneth Coppin ,  Marek Barwinski ,  Arun Nair ,  Andrei-Alexandru Rusu ,  Chia-Yueh Carlton Chu

IPC: G06K9/62

CPC classification number: G06K9/6217 ,  G06K9/00362 ,  G06K9/4628 ,  G06N3/0454 ,  G06N3/084

Abstract: The present invention relates to a method and system for characterizing an image. The characterization may then be used to conduct a search for similar images, for example using a learning system trained using previously characterized images. A face may be identified within the image and a subsection extracted from said image which does not contain said face. At least one fixed size patch is taken from said extracted subsection; and input into said learning network to characterize said image.

Abstract translation: 本发明涉及一种用于表征图像的方法和系统。 然后，可以使用表征来进行类似图像的搜索，例如使用使用先前描述的图像训练的学习系统。 可以在图像内识别面部和从不包含所述脸部的所述图像提取的子部分。 从所述提取的子段中取出至少一个固定大小的补丁; 并输入到所述学习网络中以表征所述图像。

公开(公告)号：US20140270488A1

公开(公告)日：2014-09-18

申请号：US13804257

申请日：2013-03-14

Applicant: Google Inc.

Inventor： Mustafa Suleyman ,  Benjamin Kenneth Coppin ,  Marek Barwinski ,  Arun Nair ,  Andrei-Alexandru Rusu ,  Chia-Yueh Carlton Chu

IPC: G06K9/62

CPC classification number: G06K9/6217 ,  G06K9/00362 ,  G06K9/4628 ,  G06N3/0454 ,  G06N3/084

Abstract: The present invention relates to a method and system for characterizing an image. The characterization may then be used to conduct a search for similar images, for example using a learning system trained using previously characterized images. A face may be identified within the image and a subsection extracted from said image which does not contain said face. At least one fixed size patch is taken from said extracted subsection; and input into said learning network to characterize said image.

Abstract translation: 本发明涉及一种用于表征图像的方法和系统。 然后，可以使用表征来进行类似图像的搜索，例如使用使用先前描述的图像训练的学习系统。 可以在图像内识别面部和从不包含所述脸部的所述图像提取的子部分。 从所述提取的子段中取出至少一个固定大小的补丁; 并输入到所述学习网络中以表征所述图像。

公开(公告)号：US20180018580A1

公开(公告)日：2018-01-18

申请号：US15212037

申请日：2016-07-15

Applicant: Google Inc.

Inventor： Benjamin Kenneth Coppin ,  Mustafa Suleyman ,  Thomas Chadwick Walters ,  Timothy Mann ,  Chia-Yueh Carlton Chu ,  Martin Szummer ,  Luis Carlos Cobo Rus ,  Jean-Francois Crespo

IPC: G06N99/00 ,  G06F17/30 ,  G06N7/00

CPC classification number: G06N20/00 ,  G06F16/24578 ,  G06F16/9535 ,  G06N3/0445 ,  G06N3/084 ,  G06N7/005

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for using a machine learning model that has been trained through reinforcement learning to select a content item. One of the methods includes receiving first data characterizing a first context in which a first content item may be presented to a first user in a presentation environment; and providing the first data as input to a long-term engagement machine learning model, the model having been trained through reinforcement learning to: receive a plurality of inputs, and process each of the plurality of inputs to generate a respective engagement score for each input that represents a predicted, time-adjusted total number of selections by the respective user of future content items presented to the respective user in the presentation environment if the respective content item is presented in the respective context.