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公开(公告)号：US07970637B2
公开(公告)日：2011-06-28
申请号：US11426788
申请日：2006-06-27
Applicant: Steven W. Macbeth , Roland L. Fernandez , Brian R. Meyers , Desney S. Tan , George G. Robertson , Nuria M. Oliver , Oscar E. Murillo , Elin R. Pedersen
Inventor： Steven W. Macbeth , Roland L. Fernandez , Brian R. Meyers , Desney S. Tan , George G. Robertson , Nuria M. Oliver , Oscar E. Murillo , Elin R. Pedersen
IPC: G06Q10/00
CPC classification number: G06F8/00 , G06Q10/063 , G06Q10/0631 , G06Q10/0633 , G06Q30/0201 , G06Q30/0641
Abstract: A system that can enable the atomization of application functionality in connection with an activity-centric system is provided. The system can be utilized as a programmatic tool that decomposes an application's constituent functionality into atoms thereafter monitoring and aggregating atoms with respect to a particular activity. In doing so, the functionality of the system can be scaled based upon complexity and needs of the activity. Additionally, the system can be employed to monetize the atoms or activity capabilities based upon respective use.
Abstract translation: 提供了一种能够实现与以活动为中心的系统相关联的应用功能的雾化的系统。 该系统可以用作将应用程序的组成功能分解成原子的程序工具，此后监视和聚合相对于特定活动的原子。 在这样做时，系统的功能可以根据活动的复杂性和需求进行扩展。 此外，该系统可以用于基于各自的使用从原子或活动能力货币化。
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公开(公告)号：US20100153399A1
公开(公告)日：2010-06-17
申请号：US12713192
申请日：2010-02-26
Applicant: Nuria M. Oliver , Arungunram C. Surendran , Chintan S. Thakkar , Gregory R. Smith
Inventor： Nuria M. Oliver , Arungunram C. Surendran , Chintan S. Thakkar , Gregory R. Smith
IPC: G06F17/30
CPC classification number: G06F3/0481 , G06F3/04845 , G06F9/449 , G06F9/451 , G06F9/542 , G06F11/3003 , G06F11/3414 , G06F11/3447 , G06F11/3476 , G06F17/2785 , G06F17/30598 , G06F2201/86 , G06F2209/543 , G06F2209/545
Abstract: A framework is provided for obtaining window information. The window information can be applied to different assignment models to assign windows to different groups. A group may correspond to a task being performed by a user. The window information can be semantic or temporal information captured as window events and properties of windows whose events are captured. Temporal information can be information about switches between windows. Semantic information can be window titles. Temporal information, semantic information, or both, can be used to assign windows to groups.
Abstract translation: 提供了一种用于获取窗口信息的框架。 窗口信息可以应用于不同的分配模型，以将窗口分配给不同的组。 组可以对应于由用户正在执行的任务。 窗口信息可以是作为窗口事件捕获的语义或时间信息以及捕获其事件的窗口的属性。 时间信息可以是关于窗口之间切换的信息。 语义信息可以是窗口标题。 时间信息，语义信息或两者都可用于将窗口分配给组。
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公开(公告)号：US20100138798A1
公开(公告)日：2010-06-03
申请号：US12457656
申请日：2009-06-17
Applicant: Andrew D. Wilson , Nuria M. Oliver
Inventor： Andrew D. Wilson , Nuria M. Oliver
IPC: G06F3/033
CPC classification number: G06F3/017 , A63F13/211 , A63F13/213 , A63F13/42 , A63F13/428 , A63F2300/1093 , G06F3/011 , G06F3/012 , G06F3/013 , G06F3/0346 , G06F3/038 , G06K9/00335 , G06K9/00355 , G06T7/20 , G06T7/285 , G06T7/593 , H04N13/128 , H04N13/239 , H04N13/366 , H04N2013/0081
Abstract: A 3-D imaging system for recognition and interpretation of gestures to control a computer. The system includes a 3-D imaging system that performs gesture recognition and interpretation based on a previous mapping of a plurality of hand poses and orientations to user commands for a given user. When the user is identified to the system, the imaging system images gestures presented by the user, performs a lookup for the user command associated with the captured image(s), and executes the user command(s) to effect control of the computer, programs, and connected devices.
Abstract translation: 用于识别和解释手势以控制计算机的3-D成像系统。 该系统包括一个3-D成像系统，其基于对于给定用户的多个手姿势和朝向用户命令的先前映射来执行手势识别和解释。 当用户被识别到系统时，成像系统将用户呈现的姿势图像进行与所捕获的图像相关联的用户命令的查找，并且执行用户命令以实现计算机的控制， 程序和连接的设备。
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4.发明授权Maximizing mutual information between observations and hidden states to minimize classification errors 有权最大化观察和隐藏状态之间的相互信息，以最小化分类错误公开(公告)号：US07424464B2
公开(公告)日：2008-09-09
申请号：US11301996
申请日：2005-12-13
Applicant: Nuria M. Oliver , Ashutosh Garg
Inventor： Nuria M. Oliver , Ashutosh Garg
CPC classification number: G06N99/005 , G06K9/6297 , G10L15/144
Abstract: The present invention relates to a system and methodology to facilitate machine learning and predictive capabilities in a processing environment. In one aspect of the present invention, a Mutual Information Model is provided to facilitate predictive state determinations in accordance with signal or data analysis, and to mitigate classification error. The model parameters are computed by maximizing a convex combination of the mutual information between hidden states and the observations and the joint likelihood of states and observations in training data. Once the model parameters have been learned, new data can be accurately classified.
Abstract translation: 本发明涉及一种在处理环境中促进机器学习和预测能力的系统和方法。 在本发明的一个方面，提供了相互信息模型，以便根据信号或数据分析来促进预测状态确定，并减轻分类错误。 通过最大化隐藏状态和观察值之间的相互信息的凸组合以及状态和观察在训练数据中的联合似然度来计算模型参数。 一旦模型参数被学习，新的数据可以被准确分类。
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公开(公告)号：US20070299712A1
公开(公告)日：2007-12-27
申请号：US11426788
申请日：2006-06-27
Applicant: Steven W. Macbeth , Roland L. Fernandez , Brian R. Meyers , Desney S. Tan , George G. Robertson , Nuria M. Oliver , Oscar E. Murillo , Elin R. Pedersen
Inventor： Steven W. Macbeth , Roland L. Fernandez , Brian R. Meyers , Desney S. Tan , George G. Robertson , Nuria M. Oliver , Oscar E. Murillo , Elin R. Pedersen
IPC: G06F15/02
CPC classification number: G06F8/00 , G06Q10/063 , G06Q10/0631 , G06Q10/0633 , G06Q30/0201 , G06Q30/0641
Abstract: A system that can enable the atomization of application functionality in connection with an activity-centric system is provided. The system can be utilized as a programmatic tool that decomposes an application's constituent functionality into atoms thereafter monitoring and aggregating atoms with respect to a particular activity. In doing so, the functionality of the system can be scaled based upon complexity and needs of the activity. Additionally, the system can be employed to monetize the atoms or activity capabilities based upon respective use.
Abstract translation: 提供了一种能够实现与以活动为中心的系统相关联的应用功能的雾化的系统。 该系统可以用作将应用程序的组成功能分解成原子的程序工具，此后监视和聚合相对于特定活动的原子。 在这样做时，系统的功能可以根据活动的复杂性和需求进行扩展。 此外，该系统可以用于基于各自的使用从原子或活动能力货币化。
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Patent Agency Ranking
公开(公告)号：US20070299631A1
公开(公告)日：2007-12-27
申请号：US11426846
申请日：2006-06-27
Applicant: Steven W. Macbeth , Roland L. Fernandez , Brian R. Meyers , Desney S. Tan , George G. Robertson , Nuria M. Oliver , Oscar E. Murillo , Elin R. Pedersen , Mary P. Czerwinski , Jeanine E. Spence
Inventor： Steven W. Macbeth , Roland L. Fernandez , Brian R. Meyers , Desney S. Tan , George G. Robertson , Nuria M. Oliver , Oscar E. Murillo , Elin R. Pedersen , Mary P. Czerwinski , Jeanine E. Spence
CPC classification number: G06F11/3476 , G06Q10/10
Abstract: A system that can log user actions associated with an activity is disclosed. For example, the system can maintain a log of user keystrokes, files accessed, files opened, files created, websites visited, communication events (e.g., phone calls, instant messaging communications), etc. Additionally, the system can log extrinsic data (e.g., context data) associated with the user actions. As well, these logged actions can be aggregated, synchronized and/or shared between multiple users and/or devices.
Abstract translation: 公开了可以记录与活动相关联的用户操作的系统。 例如，系统可以维护用户按键的日志，访问的文件，打开的文件，创建的文件，访问的网站，通信事件（例如，电话呼叫，即时消息通信）等。另外，系统可以记录外部数据（例如 ，上下文数据）。 同样，这些记录的操作可以在多个用户和/或设备之间聚合，同步和/或共享。
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公开(公告)号：US07203635B2
公开(公告)日：2007-04-10
申请号：US10183774
申请日：2002-06-27
Applicant: Nuria M. Oliver , Eric J. Horvitz , Ashutosh Garg
Inventor： Nuria M. Oliver , Eric J. Horvitz , Ashutosh Garg
CPC classification number: G06K9/6293 , G06K9/726 , G10L25/00
Abstract: The present invention relates to a system and methodology providing layered probabilistic representations for sensing, learning, and inference from multiple sensory streams at multiple levels of temporal granularity and abstraction. The methods facilitate robustness to subtle changes in environment and enable model adaptation with minimal retraining. An architecture of Layered Hidden Markov Models (LHMMs) can be employed having parameters learned from stream data and at different periods of time, wherein inferences can be determined relating to context and activity from perceptual signals.
Abstract translation: 本发明涉及提供分层概率表示的系统和方法，用于在多个时间粒度和抽象级别的多个感觉流中感测，学习和推断。 这些方法有助于实现环境微妙变化的鲁棒性，并通过最少的再培训实现模型适应。 可以使用分层隐马尔可夫模型（LHMM）的架构，其具有从流数据和不同时间段学习的参数，其中可以根据感知信号确定与上下文和活动有关的推论。
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8.发明授权Maximizing mutual information between observations and hidden states to minimize classification errors 有权最大化观察和隐藏状态之间的相互信息，以最小化分类错误公开(公告)号：US07007001B2
公开(公告)日：2006-02-28
申请号：US10180770
申请日：2002-06-26
Applicant: Nuria M. Oliver , Ashutosh Garg
Inventor： Nuria M. Oliver , Ashutosh Garg
IPC: G06F15/18
CPC classification number: G06N99/005 , G06K9/6297 , G10L15/144
Abstract: The present invention relates to a system and methodology to facilitate machine learning and predictive capabilities in a processing environment. In one aspect of the present invention, a Mutual Information Model is provided to facilitate predictive state determinations in accordance with signal or data analysis, and to mitigate classification error. The model parameters are computed by maximizing a convex combination of the mutual information between hidden states and the observations and the joint likelihood of states and observations in training data. Once the model parameters have been learned, new data can be accurately classified.
Abstract translation: 本发明涉及一种在处理环境中促进机器学习和预测能力的系统和方法。 在本发明的一个方面，提供了相互信息模型，以便根据信号或数据分析来促进预测状态确定，并减轻分类错误。 通过最大化隐藏状态和观察值之间的相互信息的凸组合以及状态和观察在训练数据中的联合似然度来计算模型参数。 一旦模型参数被学习，新的数据可以被准确分类。
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公开(公告)号：US08392229B2
公开(公告)日：2013-03-05
申请号：US13168176
申请日：2011-06-24
Applicant: Steven W. Macbeth , Roland L. Fernandez , Brian R. Meyers , Desney S. Tan , George G. Robertson , Nuria M. Oliver , Oscar E. Murillo , Elin R. Pedersen
Inventor： Steven W. Macbeth , Roland L. Fernandez , Brian R. Meyers , Desney S. Tan , George G. Robertson , Nuria M. Oliver , Oscar E. Murillo , Elin R. Pedersen
IPC: G06Q10/00
CPC classification number: G06F8/00 , G06Q10/063 , G06Q10/0631 , G06Q10/0633 , G06Q30/0201 , G06Q30/0641
Abstract: A system that can enable the atomization of application functionality in connection with an activity-centric system is provided. The system can be utilized as a programmatic tool that decomposes an application's constituent functionality into atoms thereafter monitoring and aggregating atoms with respect to a particular activity. In doing so, the functionality of the system can be scaled based upon complexity and needs of the activity. Additionally, the system can be employed to monetize the atoms or activity capabilities based upon respective use.
Abstract translation: 提供了一种能够实现与以活动为中心的系统相关联的应用功能的雾化的系统。 该系统可以用作将应用程序的组成功能分解成原子的程序工具，此后监视和聚合相对于特定活动的原子。 在这样做时，系统的功能可以根据活动的复杂性和需求进行扩展。 此外，该系统可以用于基于各自的使用从原子或活动能力货币化。
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公开(公告)号：US07908151B2
公开(公告)日：2011-03-15
申请号：US11864599
申请日：2007-09-28
Applicant: David E. Heckerman , Pablo Argon , Behrooz Chitsaz , Hong L. Choing , James R. Hamilton , Nuria M. Oliver , Vladimir G. Sadovsky , Chris Demetrios Karkanias , Hurbert Van Hoof , Oren Rosenbloom
Inventor： David E. Heckerman , Pablo Argon , Behrooz Chitsaz , Hong L. Choing , James R. Hamilton , Nuria M. Oliver , Vladimir G. Sadovsky , Chris Demetrios Karkanias , Hurbert Van Hoof , Oren Rosenbloom
Abstract: The claimed subject matter provides a system and/or a method that facilitates dynamically providing a question to ask a medical professional during an appointment. An interface can receive a portion of medical data. A counselor component can generate a question based on the portion of medical data, wherein the question is generated to elicit an answer from a medical professional during an appointment. Moreover, the counselor component can dynamically generate a second question directed toward the medical professional based upon at least one of the answer or a value of information (VOI) computation.
Abstract translation: 所要求保护的主题提供了一种系统和/或方法，其有助于动态地提供在约会期间向医疗专业人员提问的问题。 接口可以接收一部分医疗数据。 顾问组件可以基于医疗数据的部分产生问题，其中产生问题以在任命期间从医疗专业人员引出答案。 此外，顾问组件可以基于答案或信息值（VOI）计算中的至少一个来动态地产生针对医疗专业人员的第二个问题。
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