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1. 发明申请

US20100150458A1 Generating Cohorts Based on Attributes of Objects Identified Using Video Input 失效
标题翻译：基于使用视频输入识别的对象的属性生成队列
公开(公告)号：US20100150458A1
公开(公告)日：2010-06-17
申请号：US12333326
申请日：2008-12-12
申请人： Robert Lee Angell , Sergio Borger , Robert R. Friedlander , James R. Kraemer , Yasodhar Patnaik
发明人： Robert Lee Angell , Sergio Borger , Robert R. Friedlander , James R. Kraemer , Yasodhar Patnaik
IPC分类号： G06K9/62 , G06K9/00
CPC分类号： G06F17/30781
摘要： A computer implemented method, apparatus, and computer program product for generating video based cohorts. Digital video data is processed to identify a set of size and shape based attributes associated with the set of objects. The digital video data comprises metadata describing the set of objects. A size and shape attribute comprises an attribute describing a shape associated with a portion of an object or a size measurement of the portion of the object. The set of size and shape based attributes are analyzed using cohort criteria to form a result. The cohort criteria specify attributes that are associated with members of a given cohort. A set of cohorts is generated based on the result. Each cohort in the set of cohorts comprises a subset of objects from the set of objects that share at least one size and shape based attribute in common.
摘要翻译：一种用于生成基于视频的队列的计算机实现的方法，装置和计算机程序产品。处理数字视频数据以识别与该组对象相关联的一组基于尺寸和形状的属性。数字视频数据包括描述对象集合的元数据。尺寸和形状属性包括描述与对象的一部分相关联的形状的属性或对象的该部分的尺寸测量的属性。使用队列标准来分析基于尺寸和形状的属性的集合以形成结果。队列标准指定与给定队列的成员相关联的属性。根据结果生成一组队列。该组队列中的每个队列包括共享至少一个基于尺寸和形状的属性的对象集合的子集的子集。

2. 发明申请

US20100150457A1 Identifying and Generating Color and Texture Video Cohorts Based on Video Input 失效
标题翻译：基于视频输入识别和生成颜色和纹理视频队列
公开(公告)号：US20100150457A1
公开(公告)日：2010-06-17
申请号：US12333273
申请日：2008-12-11
申请人： Robert Lee Angell , Sergio Borger , Robert R. Friedlander , James R. Kraemer , Yasodhar Patnaik
发明人： Robert Lee Angell , Sergio Borger , Robert R. Friedlander , James R. Kraemer , Yasodhar Patnaik
IPC分类号： G06K9/62 , H04N5/00
CPC分类号： G06K9/4652 , G06K9/4661
摘要： A computer implemented method, apparatus, and computer program product for generating video based cohorts. Digital video data is processed to identify a set of color and texture based attributes associated with the set of objects. The digital video data comprises metadata describing the set of objects. The set of color and texture based attributes are analyzed using cohort criteria to form a result. The cohort criteria specify attributes that are associated with members of a given cohort. A set of cohorts is generated based on the result. Each cohort in the set of cohorts comprises a subset of objects from the set of objects that share at least one color and texture based attribute in common.
摘要翻译：一种用于生成基于视频的队列的计算机实现的方法，装置和计算机程序产品。处理数字视频数据以识别与该组对象相关联的一组基于颜色和纹理的属性。数字视频数据包括描述对象集合的元数据。使用队列标准分析基于颜色和纹理的属性的集合以形成结果。队列标准指定与给定队列的成员相关联的属性。根据结果生成一组队列。该组队列中的每个队列包括共享至少一个颜色和基于纹理的属性的对象集合的对象的子集。

3. 发明授权

US08749570B2 Identifying and generating color and texture video cohorts based on video input 失效
标题翻译：基于视频输入识别和生成颜色和纹理视频队列
公开(公告)号：US08749570B2
公开(公告)日：2014-06-10
申请号：US12333273
申请日：2008-12-11
申请人： Robert Lee Angell , Robert R Friedlander , James R Kraemer , Sergio Borger , Yashodhara M. Patnaik
发明人： Robert Lee Angell , Robert R Friedlander , James R Kraemer , Sergio Borger , Yashodhara M. Patnaik
IPC分类号： G09G5/00
CPC分类号： G06K9/4652 , G06K9/4661
摘要： A computer implemented method, apparatus, and computer program product for generating video based cohorts. Digital video data is processed to identify a set of color and texture based attributes associated with the set of objects. The digital video data comprises metadata describing the set of objects. The set of color and texture based attributes are analyzed using cohort criteria to form a result. The cohort criteria specify attributes that are associated with members of a given cohort. A set of cohorts is generated based on the result. Each cohort in the set of cohorts comprises a subset of objects from the set of objects that share at least one color and texture based attribute in common.
摘要翻译：一种用于生成基于视频的队列的计算机实现的方法，装置和计算机程序产品。处理数字视频数据以识别与该组对象相关联的一组基于颜色和纹理的属性。数字视频数据包括描述对象集合的元数据。使用队列标准分析基于颜色和纹理的属性的集合以形成结果。队列标准指定与给定队列的成员相关联的属性。根据结果生成一组队列。该组队列中的每个队列包括共享至少一个颜色和基于纹理的属性的对象集合的对象的子集。

4. 发明授权

US08199982B2 Mapping of literature onto regions of interest on neurological images 失效
标题翻译：将文献映射到神经系统图像上的感兴趣区域
公开(公告)号：US08199982B2
公开(公告)日：2012-06-12
申请号：US12141316
申请日：2008-06-18
申请人： Joanna Lynn Fueyo , Robert Lee Angell , Robert R. Friedlander , James R. Kraemer
发明人： Joanna Lynn Fueyo , Robert Lee Angell , Robert R. Friedlander , James R. Kraemer
IPC分类号： G06K9/00
CPC分类号： G06F19/345 , A61B5/055 , A61B6/037 , A61B6/501 , G06F19/00 , G06F19/321 , G06F19/324 , G06T7/0012 , G06T2207/20104 , G06T2207/30016 , G16H50/20 , G16H50/70
摘要： A computer implemented method, apparatus, and computer program product for analyzing neurological images. A set of brain scans for a patient is compared to a set of baseline control scans to automatically identify regions of interest in the set of patient scans. A region of interest is an area in a scan that shows an indication of a potential abnormality. A set of electronic medical literature sources is searched for medical literature relevant to the regions of interest in the set of patient scans. The relevant medical literature is correlated to the medical literature describing the regions of interest in the set of patient scans to the regions of interest in the set of patient scans. A result is generated. The result comprises the regions of interest and a set of links to the correlated portions of the relevant medical literature are outputted.
摘要翻译：一种用于分析神经图像的计算机实现的方法，装置和计算机程序产品。将一组患者的脑扫描与一组基线控制扫描进行比较，以自动识别该组患者扫描中的感兴趣区域。感兴趣区域是显示潜在异常的指示的扫描区域。一组电子医学文献来源搜索与该组患者扫描相关的感兴趣区域的医学文献。相关的医学文献与将病人扫描的病人扫描中的感兴趣区域描述在该组病人扫描中的感兴趣区域的医学文献相关。产生结果。输出结果包括感兴趣区域和与相关医学文献的相关部分的一组链接。

5. 发明授权

US08036946B2 System and method for making an inference based on cumulative data 有权
标题翻译：基于累积数据进行推理的系统和方法
公开(公告)号：US08036946B2
公开(公告)日：2011-10-11
申请号：US12264963
申请日：2008-11-05
申请人： Robert Lee Angell , Vinod A. Bijlani , Jack Chen , Robert R. Friedlander , James R. Kraemer , Le Gang Wu
发明人： Robert Lee Angell , Vinod A. Bijlani , Jack Chen , Robert R. Friedlander , James R. Kraemer , Le Gang Wu
IPC分类号： G06Q30/00 , G06E1/00 , G06E3/00 , G06F15/18 , G06G7/00
CPC分类号： G06Q30/0255 , G06Q30/02 , G06Q30/0601 , G06Q30/0625 , G06Q30/0631
摘要： A method for making an inference based on cumulative data. The method utilizes video, audio, and biometric devices to observe a retail environment for the presence of a customer. Once a customer is present, the method identifies every cohort to which the customer corresponds. Next, the method observes the customer as they peruse aisles in the retail environment. When the customer selects a product, the method identifies the selected product and searches the cohorts for alternate products to offer the customer. The method offers one alternate product to the customer and records to the cohorts whether the customer thereinafter accepts the method's offer and selects the alternate product or rejects the method's offer and continues perusing the retail environment aisles. The method continues observing the customer and offering alternate product until the customer leaves the retail environment.
摘要翻译：一种基于累积数据进行推理的方法。该方法利用视频，音频和生物识别设备来观察零售环境以了解客户的存在。一旦客户出现，该方法会识别客户对应的每个群组。接下来，该方法会在客户在零售环境中浏览通道时观察客户。当客户选择产品时，该方法识别所选择的产品，并搜索队列中的替代产品以提供给客户。该方法为客户提供了一种备用产品，并记录了以下客户是否接受该方法的报价，并选择替代产品或拒绝该方法的报价，并继续仔细观察零售环境通道。该方法继续观察客户并提供备用产品，直到客户离开零售环境。

6. 发明申请

US20100153458A1 Identifying and Generating Sensor and Actuator Cohorts 审中-公开
标题翻译：识别和生成传感器和执行器队列
公开(公告)号：US20100153458A1
公开(公告)日：2010-06-17
申请号：US12333311
申请日：2008-12-12
申请人： Robert Lee Angell , Robert R. Friedlander , James R. Kraemer
发明人： Robert Lee Angell , Robert R. Friedlander , James R. Kraemer
IPC分类号： G06F17/30
CPC分类号： G06Q10/06 , G06Q10/08 , G06Q10/0833
摘要： A computer implemented method, apparatus, and computer program product for generating a cohort using sensor and actuator input data. A signal is received from a set of sensors and actuators associated with a set of objects. In response to a determination that the signal is in an analog format, the signal is converted from the analog format into a digital format to form digital signal data. The digital signal data is processed to identify sensor and actuator attributes associated with the set of objects. The digital signal data comprises metadata describing the identified sensor and actuator attributes. A set of cohorts is generated using the sensor and actuator attributes, wherein each cohort in the set of cohorts comprises a subset of objects from the set of objects that share at least one sensor and actuator attribute in common.
摘要翻译：一种计算机实现的方法，装置和计算机程序产品，用于使用传感器和致动器输入数据生成队列。从与一组物体相关联的一组传感器和致动器接收信号。响应于确定信号是模拟格式，信号从模拟格式转换为数字格式以形成数字信号数据。处理数字信号数据以识别与该组对象相关联的传感器和致动器属性。数字信号数据包括描述所识别的传感器和致动器属性的元数据。使用传感器和致动器属性生成一组队列，其中该组队列中的每个队列包括共享至少一个传感器和致动器属性的来自对象集合的对象的子集。

7. 发明申请

US20100131206A1 Identifying and Generating Olfactory Cohorts Based on Olfactory Sensor Input 失效
标题翻译：基于嗅觉传感器输入识别和生成嗅觉队列
公开(公告)号：US20100131206A1
公开(公告)日：2010-05-27
申请号：US12277122
申请日：2008-11-24
申请人： Robert Lee Angell , Robert R. Friedlander , James R. Kraemer
发明人： Robert Lee Angell , Robert R. Friedlander , James R. Kraemer
IPC分类号： G01N33/00
CPC分类号： A61L2/26 , G06Q30/02
摘要： A computer implemented method, apparatus, and computer program product for generating olfactory cohorts. Olfactory data is received from a set of chemical sensors. The olfactory data describes a set of olfactory patterns for an air sample. The olfactory data is processed to identify attributes of particles in the air sample and generate digital olfactory data. The digital olfactory data comprises metadata describing the attributes of the particles in the air sample to form digital olfactory data. A set of olfactory cohorts is generated using the attributes in the digital olfactory data.
摘要翻译：一种用于产生嗅觉队列的计算机实现的方法，装置和计算机程序产品。从一组化学传感器接收嗅觉数据。嗅觉数据描述了一组空气样本的嗅觉图案。处理嗅觉数据以识别空气样本中的颗粒的属性，并生成数字嗅觉数据。数字嗅觉数据包括描述空气样本中颗粒的属性以形成数字嗅觉数据的元数据。使用数字嗅觉数据中的属性生成一组嗅觉队列。

8. 发明申请

US20100010831A1 AUTOMATICALLY DETERMINING IDEAL TREATMENT PLANS FOR COMPLEX NEUROPSYCHIATRIC CONDITIONS 有权
标题翻译：自动确定复杂神经病理条件的理想治疗方案
公开(公告)号：US20100010831A1
公开(公告)日：2010-01-14
申请号：US12169329
申请日：2008-07-08
申请人： Joanna Lynn Fueyo , Robert Lee Angell , Robert R. Friedlander , James R. Kraemer
发明人： Joanna Lynn Fueyo , Robert Lee Angell , Robert R. Friedlander , James R. Kraemer
IPC分类号： G06Q50/00
CPC分类号： G06F19/321 , G06F19/00 , G06F19/3481 , G06Q50/22 , G06Q50/24
摘要： A computer implemented method, apparatus, and computer program product for modifying neuropsychiatric treatment plans based on efficacy of treatment. A current treatment plan comprising a first set of therapies to treat a set of neuropsychiatric conditions and portions of the medical literature associated with the set of neuropsychiatric conditions is retrieved. A set of brain scans of the patient is analyzed to determine a set of changes over time associated with the set of neuropsychiatric conditions. The portions of the medical literature and the set of changes are analyzed to determine a patient rate of response to the treatment plan. If the patient rate of response falls below a threshold expected rate, a set of alternative treatments for the patient is identified. A modified treatment plan is generated using the set of alternative treatments.
摘要翻译：一种基于治疗效果的用于修改神经精神治疗计划的计算机实现的方法，装置和计算机程序产品。检索包括治疗一组神经精神病状的第一组疗法和与该组神经精神病学条件相关的部分医学文献的当前治疗计划。分析患者的一组脑扫描，以确定与神经精神病学条件相关联的随时间变化的一组变化。分析医学文献的一部分和一组变化，以确定患者对治疗计划的反应率。如果患者的反应率降低到阈值预期速率以下，则识别患者的一组替代治疗。使用一组替代治疗产生修改的治疗计划。

9. 发明申请

US20100010316A1 DIFFERENTIAL DIAGNOSIS OF NEUROPSYCHIATRIC CONDITIONS 有权
标题翻译：神经功能障碍的差异诊断
公开(公告)号：US20100010316A1
公开(公告)日：2010-01-14
申请号：US12169339
申请日：2008-07-08
申请人： Joanna Lynn Fueyo , Robert Lee Angell , Robert R. Friedlander , James R. Kraemer
发明人： Joanna Lynn Fueyo , Robert Lee Angell , Robert R. Friedlander , James R. Kraemer
IPC分类号： A61B5/00 , G06F17/30
CPC分类号： G06T7/0012 , G06F19/00 , G06T2207/10016 , G06T2207/10072 , G06T2207/20104 , G06T2207/30016 , G16H50/70
摘要： A computer implemented method, apparatus, and computer program product for generating neuropsychiatric diagnoses. Quantitative information describing diagnostic characteristics associated with a patient is generated based on an analysis of a set of patient scans. The quantitative information comprises a set of indictors associated with regions of interest in the set of scans for the patient. The set of indicators of potential neuropsychiatric conditions is compared with a set of diagnostic signatures. A diagnostic signature comprises a set of indicators of a known neuropsychiatric condition. Matching signatures are identified. A matching signature is a diagnostic signature that corresponds to at least one indicator in the set of indicators to form a set of signatures. A diagnosis associated with each signature in the set of signatures is identified to form a set of potential diagnoses. The set of potential diagnoses is presented with links to relevant portion of the medical literature.
摘要翻译：一种用于产生神经精神科诊断的计算机实现的方法，装置和计算机程序产品。基于对一组患者扫描的分析来生成描述与患者相关联的诊断特征的定量信息。定量信息包括与患者的扫描集合中的感兴趣区域相关联的一组指示符。将一组潜在神经精神病学指标与一组诊断标记进行比较。诊断签名包括已知神经精神病状的一组指标。识别匹配的签名。匹配的签名是对应于该组指示符中的至少一个指示符以形成一组签名的诊断签名。识别与该组签名中的每个签名相关联的诊断以形成一组潜在诊断。该组潜在诊断呈现与医学文献相关部分的链接。

10. 发明申请

US20090240556A1 ANTICIPATING MERCHANDISING TRENDS FROM UNIQUE COHORTS 审中-公开
标题翻译：从独特的协调者处理商品趋势
公开(公告)号：US20090240556A1
公开(公告)日：2009-09-24
申请号：US12050720
申请日：2008-03-18
申请人： Robert Lee Angell , Robert R. Friedlander , James R. Kraemer
发明人： Robert Lee Angell , Robert R. Friedlander , James R. Kraemer
IPC分类号： G06Q10/00
CPC分类号： G06Q30/02 , G06Q30/0201
摘要： A computer implemented method, apparatus, and computer-usable program product for identifying marketing trends in unique cohort groups. Information describing a plurality of unique cohort groups associated with a public environment is retrieved. Each member of a cohort group in the plurality of unique cohort groups shares at least one common attribute. Sets of attributes associated with the plurality of unique cohort groups are identified. The sets of attributes are analyzed by a cohort trend detection engine to identify attribute trends associated with the sets of attributes and a frequency of occurrence of the attribute trends in the plurality of unique cohort groups to form current attribute trends. In response to a query to an inference engine requesting inferences associated with the marketing trends, inferences describing future occurrences of the attributes in the plurality of cohort groups are received to form a set of future attribute trends. A set of marketing trends are generated using the current attribute trends and the set of future attribute trends. The set of marketing trends describes probable future marketing trends in the given environment.
摘要翻译：计算机实现的方法，装置和计算机可用的程序产品，用于识别独特队列组中的营销趋势。检索描述与公共环境相关联的多个唯一队列组的信息。多个独特的队列组中的队列组的每个成员共享至少一个公共属性。识别与多个唯一队列组相关联的属性集合。通过队列趋势检测引擎分析属性集合以识别与属性集合相关联的属性趋势和多个独特队列组中的属性趋势的发生频率以形成当前属性趋势。响应于对推论引擎的查询请求与营销趋势相关联的推论，接收描述多个群组中的属性的未来事件的推论以形成一组未来属性趋势。使用当前属性趋势和未来属性趋势集合生成一组营销趋势。这套营销趋势描述了给定环境中未来的市场趋势。

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