-
公开(公告)号：US20150262023A1
公开(公告)日：2015-09-17
申请号：US14724358
申请日：2015-05-28
Applicant: 3M INNOVATIVE PROPERTIES COMPANY
Inventor： Gabriel A. Biller , Kristopher W. Clover , Masuma W. Henry , Stephen M. June , Brian L. Linzie , Robert D. Lorentz , David M. Mahli , Richard J. Moore , Cristin E. Moran , Tasuku Nakayama , Scott D. Pearson , Dennard J. Powell , Olen Ronning , Guruprasad Somasundaram , Brian J. Stankiewicz , Diane R. Wolk
CPC classification number: G06K9/18 , G06K9/00442 , G06K9/2063 , G06K9/3258
Abstract: At least some aspects of the present disclosure feature systems and methods for note recognition. The note recognition system includes a sensor, a note recognition module, and a note extraction module. The sensor is configured to capture a visual representation of a scene having one or more notes. The note recognition module is coupled to the sensor. The note recognition module is configured to receive the captured visual representation and determine a general boundary of a note from the captured visual representation. The note extraction module is configured to extract content of the note from the captured visual representation based on the determined general boundary of the note.
Abstract translation: 本公开的至少一些方面的特征用于音符识别的系统和方法。 音符识别系统包括传感器，音符识别模块和音符提取模块。 传感器被配置为捕获具有一个或多个音符的场景的视觉表示。 音符识别模块耦合到传感器。 笔记识别模块被配置为接收捕获的视觉表示并且从所捕获的视觉表示中确定音符的一般边界。 笔记提取模块被配置为基于所确定的音符的一般边界从所捕获的视觉表示中提取音符的内容。
-
公开(公告)号：US09070036B2
公开(公告)日：2015-06-30
申请号：US14231072
申请日：2014-03-31
Applicant: 3M INNOVATIVE PROPERTIES COMPANY
Inventor： Gabriel A. Biller , Kristopher W. Clover , Masuma W. Henry , Stephen M. June , Brian L. Linzie , Robert D. Lorentz , David M. Mahli , Richard J. Moore , Cristin E. Moran , Tasuku Nakayama , Scott D. Pearson , Dennard J. Powell , Olen Ronning , Guruprasad Somasundaram , Brian J. Stankiewicz , Diane R. Wolk
CPC classification number: G06K9/18 , G06K9/00442 , G06K9/2063 , G06K9/3258
Abstract: At least some aspects of the present disclosure feature systems and methods for note recognition. The note recognition system includes a sensor, a note recognition module, and a note extraction module. The sensor is configured to capture a visual representation of a scene having one or more notes. The note recognition module is coupled to the sensor. The note recognition module is configured to receive the captured visual representation and determine a general boundary of a note from the captured visual representation. The note extraction module is configured to extract content of the note from the captured visual representation based on the determined general boundary of the note.
Abstract translation: 本公开的至少一些方面的特征用于音符识别的系统和方法。 音符识别系统包括传感器，音符识别模块和音符提取模块。 传感器被配置为捕获具有一个或多个音符的场景的视觉表示。 音符识别模块耦合到传感器。 笔记识别模块被配置为接收捕获的视觉表示并且从所捕获的视觉表示中确定音符的一般边界。 笔记提取模块被配置为基于所确定的音符的一般边界从所捕获的视觉表示中提取音符的内容。
-
Patent Agency Ranking
13.发明申请SYSTEM AND METHOD FOR CONCURRENTLY CONDUCTING CAUSE-AND-EFFECT EXPERIMENTS ON CONTENT EFFECTIVENESS AND ADJUSTING CONTENT DISTRIBUTION TO OPTIMIZE BUSINESS OBJECTIVES 有权一致性导致内容有效性的原因和效果实验的系统和方法，并调整内容分配以优化业务目标公开(公告)号：US20130246162A1
公开(公告)日：2013-09-19
申请号：US13875917
申请日：2013-05-02
Applicant: 3M INNOVATIVE PROPERTIES COMPANY
Inventor： Brian E. Brooks , Brian J. Stankiewicz , Jonathan B. Arthur , Craig G. Markell , Brian L. Linzie
IPC: G06Q30/02
CPC classification number: G06Q30/0244 , G06N99/005 , G06Q10/04 , G06Q30/02
Abstract: The present invention is directed to systems, articles, and computer-implemented methods for assessing effectiveness of communication content and optimizing content distribution to enhance business objectives. Embodiments of the present invention are directed to computer-implemented methods for a computer-implemented method, comprising conducting an experiment using experimental content to determine effectiveness of communication content and executing, while conducting the experiment, a machine learning routine (MLR) using MLR content to enhance an effectiveness metric.
Abstract translation: 本发明涉及用于评估通信内容的有效性并优化内容分发以增强业务目标的系统，文章和计算机实现的方法。 本发明的实施例涉及用于计算机实现的方法的计算机实现的方法，包括使用实验内容进行实验以确定通信内容的有效性并且在进行实验的同时执行使用MLR内容的机器学习例程（MLR） 以提高有效性度量。
-
公开(公告)号：US11676047B1
公开(公告)日：2023-06-13
申请号：US16663923
申请日：2019-10-25
Applicant: 3M INNOVATIVE PROPERTIES COMPANY
Inventor： Amanda B. Dauphinais , Justine S. Fritz , Jessica B. Dugan , Brian L. Linzie , Julian A. Politis , Nicolas A. Echeverri , Rebecca L. Blakey , Patrick S. Hiner , Andrew M. Boyd , Niya P. Johnson
IPC: G06N5/04 , G01N33/00 , F24F11/30 , G01N1/22 , F24F110/50
CPC classification number: G06N5/04 , F24F11/30 , G01N1/2273 , G01N33/0075 , F24F2110/50
Abstract: The present disclosure provides systems and methods for collecting distributed information regarding air quality and air management system performance, and providing recommendations for affecting the air quality, the air management system, or individuals subject to or in control of either the air quality or the air management system.
-
公开(公告)号：US20180101629A1
公开(公告)日：2018-04-12
申请号：US15834104
申请日：2017-12-07
Applicant: 3M INNOVATIVE PROPERTIES COMPANY
Inventor： Brian E. Brooks , Brian J. Stankiewicz , Brian L. Linzie
CPC classification number: G06F17/5009 , G06K9/4623 , G06T7/11 , G06T2207/10024 , G06T2207/30201
Abstract: Systems and methods for improving visual attention models use effectiveness assessment from an environment as feedback to improve visual attention models. The effectiveness assessment uses data indicative of a particular behavior, which is related to visual attention allocation, received from the environment to assess relative effectiveness of the environment on influencing the particular behavior.
-
公开(公告)号：US09563696B2
公开(公告)日：2017-02-07
申请号：US14230892
申请日：2014-03-31
Applicant: 3M INNOVATIVE PROPERTIES COMPANY
Inventor： Willem V. Bastiaens , Gabriel A. Biller , Kristopher W. Clover , Brian R. Hackerson , Masuma W. Henry , Stephen M. June , Brian L. Linzie , Robert D. Lorentz , David M. Mahli , Richard J. Moore , Cristin E. Moran , Michael E. O'Brien , Scott D. Pearson , Dennard J. Powell , Olen Ronning , Guruprasad Somasundaram , Brian J. Stankiewicz , Diane R. Wolk
CPC classification number: G06F17/30705 , G06F17/30247
Abstract: At least some aspects of the present disclosure feature systems and methods for managing notes. The note management system includes a note source, a note recognition module, a note extraction module, and a note labeling module. The note source is a visual representation of a scene having a note. The note recognition module is configured to receive the visual representation and determine a general boundary of the note from the visual representation. The note extraction module is configured to extract content of the note from the visual representation based on the determined general boundary. The note labeling module is configured to label the note with a category.
Abstract translation: 本公开的至少一些方面的特征用于管理笔记的系统和方法。 笔记管理系统包括笔记源，笔记识别模块，笔记提取模块和笔记标注模块。 音符来源是具有音符的场景的视觉表示。 笔记识别模块被配置为从视觉表示接收视觉表示并确定音符的一般边界。 笔记提取模块被配置为基于所确定的一般边界从视觉表示中提取音符的内容。 笔记标签模块被配置为用类别标记音符。
-
公开(公告)号：US20140297646A1
公开(公告)日：2014-10-02
申请号：US14230892
申请日：2014-03-31
Applicant: 3M INNOVATIVE PROPERTIES COMPANY
Inventor： Willem V. Bastiaens , Gabriel A. Biller , Kristopher W. Clover , Brian R. Hackerson , Masuma W. Henry , Stephen M. June , Brian L. Linzie , Robert D. Lorentz , David M. Mahli , Richard J. Moore , Cristin E. Moran , Michael E. O'Brien , Scott D. Pearson , Dennard J. Powell , Olen Ronning , Guruprasad Somasundaram , Brian J. Stankiewicz , Diane R. Wolk
IPC: G06F17/30
CPC classification number: G06F17/30705 , G06F17/30247
Abstract: At least some aspects of the present disclosure feature systems and methods for managing notes. The note management system includes a note source, a note recognition module, a note extraction module, and a note labeling module. The note source is a visual representation of a scene having a note. The note recognition module is configured to receive the visual representation and determine a general boundary of the note from the visual representation. The note extraction module is configured to extract content of the note from the visual representation based on the determined general boundary. The note labeling module is configured to label the note with a category.
Abstract translation: 本公开的至少一些方面的特征用于管理笔记的系统和方法。 笔记管理系统包括笔记源，笔记识别模块，笔记提取模块和笔记标注模块。 音符来源是具有音符的场景的视觉表示。 笔记识别模块被配置为从视觉表示接收视觉表示并确定音符的一般边界。 笔记提取模块被配置为基于所确定的一般边界从视觉表示中提取音符的内容。 笔记标签模块被配置为用类别标记音符。
-
-
-
-
-
-
Search Results
17
records
(took 0.017 seconds)
