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1. 发明申请

US20120183206A1 INTERACTIVE CONCEPT LEARNING IN IMAGE SEARCH 有权
标题翻译：图像搜索中的交互式概念学习
公开(公告)号：US20120183206A1
公开(公告)日：2012-07-19
申请号：US13429342
申请日：2012-03-24
申请人： Desney S. Tan , Ashish Kapoor , Simon A. J. Winder , James A. Fogarty
发明人： Desney S. Tan , Ashish Kapoor , Simon A. J. Winder , James A. Fogarty
IPC分类号： G06K9/62
CPC分类号： G06F17/30247 , G06K9/6215
摘要： An interactive concept learning image search technique that allows end-users to quickly create their own rules for re-ranking images based on the image characteristics of the images. The image characteristics can include visual characteristics as well as semantic features or characteristics, or may include a combination of both. End-users can then rank or re-rank any current or future image search results according to their rule or rules. End-users provide examples of images each rule should match and examples of images the rule should reject. The technique learns the common image characteristics of the examples, and any current or future image search results can then be ranked or re-ranked according to the learned rules.
摘要翻译：一种交互式概念学习图像搜索技术，允许最终用户基于图像的图像特征快速创建自己的重新排序图像的规则。图像特征可以包括视觉特征以及语义特征或特征，或者可以包括两者的组合。然后，最终用户可以根据其规则或规则对当前或将来的图像搜索结果进行排名或重新排序。最终用户提供每个规则应该匹配的图像的示例以及规则应该拒绝的图像的示例。该技术学习示例的常见图像特征，然后可以根据学习的规则对任何当前或将来的图像搜索结果进行排名或重新排序。

2. 发明授权

US08165406B2 Interactive concept learning in image search 有权
标题翻译：图像搜索中的互动概念学习
公开(公告)号：US08165406B2
公开(公告)日：2012-04-24
申请号：US11954246
申请日：2007-12-12
申请人： Desney S. Tan , Ashish Kapoor , Simon A. J. Winder , James A. Fogarty
发明人： Desney S. Tan , Ashish Kapoor , Simon A. J. Winder , James A. Fogarty
IPC分类号： G06K9/62
CPC分类号： G06F17/30247 , G06K9/6215
摘要： An interactive concept learning image search technique that allows end-users to quickly create their own rules for re-ranking images based on the image characteristics of the images. The image characteristics can include visual characteristics as well as semantic features or characteristics, or may include a combination of both. End-users can then rank or re-rank any current or future image search results according to their rule or rules. End-users provide examples of images each rule should match and examples of images the rule should reject. The technique learns the common image characteristics of the examples, and any current or future image search results can then be ranked or re-ranked according to the learned rules.
摘要翻译：一种交互式概念学习图像搜索技术，允许最终用户基于图像的图像特征快速创建自己的重新排序图像的规则。图像特征可以包括视觉特征以及语义特征或特征，或者可以包括两者的组合。然后，最终用户可以根据其规则或规则对当前或将来的图像搜索结果进行排名或重新排序。最终用户提供每个规则应该匹配的图像的示例以及规则应该拒绝的图像的示例。该技术学习示例的常见图像特征，然后可以根据学习的规则对任何当前或将来的图像搜索结果进行排名或重新排序。

3. 发明授权

US09008446B2 Interactive concept learning in image search 有权
标题翻译：图像搜索中的互动概念学习
公开(公告)号：US09008446B2
公开(公告)日：2015-04-14
申请号：US13429342
申请日：2012-03-24
申请人： Desney S. Tan , Ashish Kapoor , Simon A. J. Winder , James A. Fogarty
发明人： Desney S. Tan , Ashish Kapoor , Simon A. J. Winder , James A. Fogarty
IPC分类号： G06K9/62 , G06F17/30
CPC分类号： G06F17/30247 , G06K9/6215
摘要： An interactive concept learning image search technique that allows end-users to quickly create their own rules for re-ranking images based on the image characteristics of the images. The image characteristics can include visual characteristics as well as semantic features or characteristics, or may include a combination of both. End-users can then rank or re-rank any current or future image search results according to their rule or rules. End-users provide examples of images each rule should match and examples of images the rule should reject. The technique learns the common image characteristics of the examples, and any current or future image search results can then be ranked or re-ranked according to the learned rules.
摘要翻译：一种交互式概念学习图像搜索技术，允许最终用户基于图像的图像特征快速创建自己的重新排序图像的规则。图像特征可以包括视觉特征以及语义特征或特征，或者可以包括两者的组合。然后，最终用户可以根据其规则或规则对当前或将来的图像搜索结果进行排名或重新排序。最终用户提供每个规则应该匹配的图像的示例以及规则应该拒绝的图像的示例。该技术学习示例的常见图像特征，然后可以根据学习的规则对任何当前或将来的图像搜索结果进行排名或重新排序。

4. 发明授权

US08457908B2 Sensing events affecting liquid flow in a liquid distribution system 有权
标题翻译：在液体分配系统中影响液体流动的感测事件
公开(公告)号：US08457908B2
公开(公告)日：2013-06-04
申请号：US12483041
申请日：2009-06-11
申请人： Shwetak N. Patel , James A. Fogarty , Jon E. Froehlich , Eric C. Larson
发明人： Shwetak N. Patel , James A. Fogarty , Jon E. Froehlich , Eric C. Larson
IPC分类号： G01L7/00
CPC分类号： G01F1/34 , E03B7/071 , F17D1/08 , F17D5/02 , G01M3/26 , G01M3/2807 , G01M3/2815 , Y02A20/15 , Y10T137/0318 , Y10T137/8175
摘要： By monitoring pressure transients in a liquid within a liquid distribution system using only a single sensor, events such as the opening and closing of valves at specific fixtures are readily detected. The sensor, which can readily be coupled to a faucet bib, transmits an output signal to a computing device. Each such event can be identified by the device based by comparing characteristic features of the pressure transient waveform with previously observed characteristic features for events in the system. These characteristic features, which can include the varying pressure, derivative, and real Cepstrum of the pressure transient waveform, can be used to select a specific fixture where a valve open or close event has occurred. Flow to each fixture and leaks in the system can also be determined from the pressure transient signal. A second sensor disposed at a point disparate from the first sensor provides further event information.
摘要翻译：通过仅使用单个传感器监测液体分配系统内的液体中的压力瞬变，容易检测诸如特定固定装置上的阀的打开和关闭等事件。可以容易地耦合到水龙头围兜的传感器将输出信号传送到计算设备。每个这样的事件可以通过将压力瞬变波形的特征特征与先前观察到的用于系统中的事件的特征特性进行比较来识别。这些特征可以包括压力瞬变波形的变化压力，导数和实际倒谱，可用于选择发生阀门打开或关闭事件的特定夹具。每个夹具的流量和系统中的泄漏也可以从压力瞬变信号确定。设置在与第一传感器不同的点处的第二传感器提供另外的事件信息。

5. 发明申请

US20100313958A1 SENSING EVENTS AFFECTING LIQUID FLOW IN A LIQUID DISTRIBUTION SYSTEM 有权
标题翻译：感应液体液体分配系统中的液体流动事件
公开(公告)号：US20100313958A1
公开(公告)日：2010-12-16
申请号：US12483041
申请日：2009-06-11
申请人： Shwetak N. Patel , James A. Fogarty , Jon E. Froehlich , Eric C. Larson
发明人： Shwetak N. Patel , James A. Fogarty , Jon E. Froehlich , Eric C. Larson
IPC分类号： F16K37/00
CPC分类号： G01F1/34 , E03B7/071 , F17D1/08 , F17D5/02 , G01M3/26 , G01M3/2807 , G01M3/2815 , Y02A20/15 , Y10T137/0318 , Y10T137/8175
摘要： By monitoring pressure transients in a liquid within a liquid distribution system using only a single sensor, events such as the opening and closing of valves at specific fixtures are readily detected. The sensor, which can readily be coupled to a faucet bib, transmits an output signal to a computing device. Each such event can be identified by the device based by comparing characteristic features of the pressure transient waveform with previously observed characteristic features for events in the system. These characteristic features, which can include the varying pressure, derivative, and real Cepstrum of the pressure transient waveform, can be used to select a specific fixture where a valve open or close event has occurred. Flow to each fixture and leaks in the system can also be determined from the pressure transient signal. A second sensor disposed at a point disparate from the first sensor provides further event information.
摘要翻译：通过仅使用单个传感器监测液体分配系统内的液体中的压力瞬变，容易检测诸如特定固定装置上的阀的打开和关闭等事件。可以容易地耦合到水龙头围兜的传感器将输出信号传送到计算设备。每个这样的事件可以通过将压力瞬变波形的特征特征与先前观察到的用于系统中的事件的特征特性进行比较来识别。这些特征可以包括压力瞬变波形的变化压力，导数和实际倒谱，可用于选择发生阀门打开或关闭事件的特定夹具。每个夹具的流量和系统中的泄漏也可以从压力瞬变信号确定。设置在与第一传感器不同的点处的第二传感器提供另外的事件信息。

6. 发明申请

US20090154795A1 INTERACTIVE CONCEPT LEARNING IN IMAGE SEARCH 有权
标题翻译：图像搜索中的交互式概念学习
公开(公告)号：US20090154795A1
公开(公告)日：2009-06-18
申请号：US11954246
申请日：2007-12-12
申请人： Desney S. Tan , Ashish Kapoor , Simon A. J. Winder , James A. Fogarty
发明人： Desney S. Tan , Ashish Kapoor , Simon A. J. Winder , James A. Fogarty
IPC分类号： G06K9/62
CPC分类号： G06F17/30247 , G06K9/6215
摘要： An interactive concept learning image search technique that allows end-users to quickly create their own rules for re-ranking images based on the image characteristics of the images. The image characteristics can include visual characteristics as well as semantic features or characteristics, or may include a combination of both. End-users can then rank or re-rank any current or future image search results according to their rule or rules. End-users provide examples of images each rule should match and examples of images the rule should reject. The technique learns the common image characteristics of the examples, and any current or future image search results can then be ranked or re-ranked according to the learned rules.
摘要翻译：一种交互式概念学习图像搜索技术，允许最终用户基于图像的图像特征快速创建自己的重新排序图像的规则。图像特征可以包括视觉特征以及语义特征或特征，或者可以包括两者的组合。然后，最终用户可以根据其规则或规则对当前或将来的图像搜索结果进行排名或重新排序。最终用户提供每个规则应该匹配的图像的示例以及规则应该拒绝的图像的示例。该技术学习示例的常见图像特征，然后可以根据学习的规则对任何当前或将来的图像搜索结果进行排名或重新排序。

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