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51. 发明申请

WO2007024851A2 OPEN-LOOP POWER ADJUSTMENT FOR CQI REPOINTING BASED ON RL QUALITY INDICATORS 审中-公开
标题翻译：基于RL质量指标的CQI编码开环功率调整
公开(公告)号：WO2007024851A2
公开(公告)日：2007-03-01
申请号：PCT/US2006/032763
申请日：2006-08-22
申请人： QUALCOMM INCORPORATED , JULIAN, David Jonathan , SUTIVONG, Arak
发明人： JULIAN, David Jonathan , SUTIVONG, Arak
IPC分类号： H04B7/005
CPC分类号： H04W52/36 , H04W52/14 , H04W52/146 , H04W52/16 , H04W52/246 , H04W52/267 , H04W52/325 , H04W52/40
摘要： Systems and methodologies are described that facilitate performing scalable transmission power offsets for an access terminal to ensure that a listening base station can hear a signal transmitted from the access terminal. The power offset is generated as a function of a reverse link channel quality indicator feedback loop to permit the access terminal to adjust transmission power sufficiently without excessive power boosting, such as can occur under a static power-boosting scheme. Monitored parameters associated with channel quality indications may comprise erasure rate indicators provided by base stations in response to CQI signals from the access terminal, as well as mean received power levels associated with superframe preamble received at the access terminal.
摘要翻译：描述了便于为接入终端执行可扩展传输功率偏移以确保监听基站可以听到从接入终端传输的信号的系统和方法。根据反向链路信道质量指示符反馈回路生成功率偏移，以允许接入终端充分调整传输功率，而没有过度的功率提升，例如可能发生在静态功率提升方案下。与信道质量指示相关联的监测参数可以包括由基站响应于来自接入终端的CQI信号而提供的消除速率指示符，以及与在接入终端处接收的超帧前导码相关联的平均接收功率电平。

52. 发明申请

WO2006121864A2 USING ASSIGNMENT MESSAGES FOR EFFICIENT SIGNALING OF HANDOFF 审中-公开
标题翻译：使用分配信息进行有效的信号交换
公开(公告)号：WO2006121864A2
公开(公告)日：2006-11-16
申请号：PCT/US2006/017417
申请日：2006-05-05
申请人： QUALCOMM INCORPORATED , JULIAN, David Jonathan , AGRAWAL, Avneesh , TEAGUE, Edward Harrison
发明人： JULIAN, David Jonathan , AGRAWAL, Avneesh , TEAGUE, Edward Harrison
IPC分类号： H04Q7/00
CPC分类号： H04W36/18 , H04W36/06 , H04W36/22 , H04W36/38
摘要： Systems and methods are provided to facilitate efficient communications handoff for access terminals in a wireless network. In an aspect, a method to handoff communications in a wireless network is provided. The method includes decoding assignment messages from one or more sectors in an active set and performing an access terminal handoff based at least in part on the active set.
摘要翻译：提供系统和方法以便于无线网络中的接入终端的有效的通信切换。在一方面，提供了一种在无线网络中切换通信的方法。所述方法包括解码来自活动集中的一个或多个扇区的分配消息，并且至少部分地基于所述活动集来执行接入终端切换。

53. 发明申请

WO2006069269A1 APPARATUS AND METHOD FOR EFFICIENT TRANSMISSION OF ACKNOWLEDGMENTS 审中-公开
标题翻译：用于有效传送致谢的装置和方法
公开(公告)号：WO2006069269A1
公开(公告)日：2006-06-29
申请号：PCT/US2005/046680
申请日：2005-12-21
申请人： QUALCOMM INCORPORATED , JULIAN, David Jonathan , TEAGUE, Edward Harrison
发明人： JULIAN, David Jonathan , TEAGUE, Edward Harrison
IPC分类号： H04L1/18 , H04B7/005 , H04L1/12 , H04L12/56
CPC分类号： H04W52/28 , H04L1/1671 , H04L1/1819 , H04L1/1825 , H04L1/1854 , H04L47/323
摘要： Method and apparatus for transmission of information in multiple access communication system is described. Information from a plurality of access terminals is received. Alternatively, an access terminal determines what information needs to be sent to the access point. A determination is made as to whether sufficient resources, such as time, power level, or channels, are available to send an indication of acknowledgment. If sufficient resources are not available at the given time, the transmission of an indication of acknowledgment is delayed until sufficient resources are available.
摘要翻译：描述了用于在多址通信系统中传输信息的方法和装置。接收来自多个接入终端的信息。或者，接入终端确定需要发送到接入点的信息。确定足够的资源，例如时间，功率电平或信道是否可用于发送确认指示。如果在给定时间内没有足够的资源可用，延迟确认指示的传输，直到有足够的资源可用。

54. 发明申请

WO2017023539A1 MEDIA CLASSIFICATION 审中-公开
标题翻译：媒体分类
公开(公告)号：WO2017023539A1
公开(公告)日：2017-02-09
申请号：PCT/US2016/043016
申请日：2016-07-19
申请人： QUALCOMM INCORPORATED
发明人： TADESSE, Henok Tefera , CHAKRABORTY, Avijit , JULIAN, David Jonathan , STOKMAN, Henricus Meinardus , DE ROOIJ, Ork , VAN DE SANDE, Koen Erik Adriaan , ANNAPUREDDY, Venkata Sreekanta Reddy
IPC分类号： G06K9/62
CPC分类号： G06N3/088 , G06K9/6265 , G06N3/02 , G06N3/04 , G06N99/005
摘要： Multi-label classification is improved by determining thresholds and/or scale factors. Selecting thresholds for multi-label classification includes sorting a set of label scores associated with a first label to create an ordered list. Precision and recall values are calculated corresponding to a set of candidate thresholds from score values. The threshold is selected from the candidate thresholds for the first label based on target precision values or recall values. A scale factor is also selected for an activation function for multi-label classification where a metric of scores within a range is calculated. The scale factor is adjusted when the metric of scores are not within the range.
摘要翻译：通过确定阈值和/或比例因子来提高多标签分类。选择多标签分类的阈值包括对与第一标签相关联的一组标签分数进行排序以创建有序列表。根据得分值对应于一组候选阈值计算精确度和回忆值。基于目标精度值或召回值，从第一标签的候选阈值中选择阈值。还为多标签分类的激活功能选择比例因子，其中计算范围内的分数的度量。当分数的度量不在该范围内时，调整比例因子。

55. 发明申请

WO2016182671A1 FIXED POINT NEURAL NETWORK BASED ON FLOATING POINT NEURAL NETWORK QUANTIZATION 审中-公开
标题翻译：基于浮动点神经网络定量的固定点神经网络
公开(公告)号：WO2016182671A1
公开(公告)日：2016-11-17
申请号：PCT/US2016/027589
申请日：2016-04-14
申请人： QUALCOMM INCORPORATED
发明人： LIN, Dexu , ANNAPUREDDY, Venkata Sreekanta Reddy , HOWARD, David Edward , JULIAN, David Jonathan , MAJUMDAR, Somdeb , BELL, II, William Richard
IPC分类号： G06N3/10 , G06N3/06
CPC分类号： G06N3/08 , G06K9/4628 , G06N3/04 , G06N3/06 , G06N3/10
摘要： A method of quantizing a floating point machine learning network to obtain a fixed point machine learning network using a quantizer may include selecting at least one moment of an input distribution of the floating point machine learning network. The method may also include determining quantizer parameters for quantizing values of the floating point machine learning network based at least in part on the at least one selected moment of the input distribution of the floating point machine learning network to obtain corresponding values of the fixed point machine learning network.
摘要翻译：使用量化器来量化浮点计算机学习网络以获得定点机器学习网络的方法可以包括选择浮点计算机学习网络的输入分布的至少一个时刻。该方法还可以包括：至少部分地基于浮点机器学习网络的输入分布的至少一个选定时刻来确定用于量化浮点计算机学习网络的值的量化器参数，以获得固定点计算机的相应值学习网络

56. 发明申请

WO2016144523A1 ONLINE TRAINING FOR OBJECT RECOGNITION SYSTEM 审中-公开
标题翻译：对象识别系统的在线训练
公开(公告)号：WO2016144523A1
公开(公告)日：2016-09-15
申请号：PCT/US2016/018964
申请日：2016-02-22
申请人： QUALCOMM INCORPORATED
发明人： JULIAN, David Jonathan , SARAH, Anthony
IPC分类号： G06K9/00 , G06K9/62
CPC分类号： G06N99/005 , G06K9/00107 , G06K9/6262 , G06K9/6269 , G06N3/02 , G06N5/046
摘要： A method of online training of a classifier includes determining a distance from one or more feature vectors of an object to a first predetermined decision boundary established during off-line training for the classifier. The method also includes updating a decision rule as a function of the distance. The method further includes classifying a future example based on the updated decision rule.
摘要翻译：分类器的在线训练的方法包括确定从物体的一个或多个特征向量到在分类器的离线训练期间建立的第一预定判定边界的距离。该方法还包括根据距离更新决策规则。该方法还包括基于更新的决策规则对未来示例进行分类。

57. 发明申请

WO2015167765A2 TEMPORAL SPIKE ENCODING FOR TEMPORAL LEARNING 审中-公开
标题翻译：时间尖峰编码用于时间学习
公开(公告)号：WO2015167765A2
公开(公告)日：2015-11-05
申请号：PCT/US2015/024807
申请日：2015-04-08
申请人： QUALCOMM INCORPORATED
发明人： JULIAN, David Jonathan , ANNAPUREDDY, Venkata Sreekanth Reddy , PETERSON, Kristopher David
IPC分类号： G06N3/08
CPC分类号： G06N3/049 , G06N3/08
摘要： Certain aspects of the present disclosure support methods and apparatus for temporal spike encoding for temporal learning in an artificial nervous system. The temporal spike encoding for temporal learning can comprise obtaining sensor data being input into the artificial nervous system, processing the sensor data to generate feature vectors, converting element values of the feature vectors into delays, and causing at least one artificial neuron of the artificial nervous system to spike at times based on the delays.
摘要翻译：本公开的某些方面支持用于人造神经系统中的时间学习的时间尖峰编码的方法和装置。用于时间学习的时间尖峰编码可以包括获得输入到人造神经系统中的传感器数据，处理传感器数据以产生特征向量，将特征向量的元素值转换成延迟，并且使人造神经的至少一个人造神经元系统有时会根据延迟时间飙升。

58. 发明申请

WO2015148044A1 CONVERSION OF NEURON TYPES TO HARDWARE 审中-公开
标题翻译：神经类型转换为硬件
公开(公告)号：WO2015148044A1
公开(公告)日：2015-10-01
申请号：PCT/US2015/017762
申请日：2015-02-26
申请人： QUALCOMM INCORPORATED
发明人： JULIAN, David Jonathan , WEGRZYN, Jan Krzysztof
IPC分类号： G06N3/04
CPC分类号： G06N3/0481
摘要： Certain aspects of the present disclosure support a method and apparatus for conversion of neuron types to a hardware implementation of an artificial nervous system. According to certain aspects, at least one of synapse weights of the artificial nervous system, neuron input channel resistances associated with a neuron model for neuron instances of the artificial nervous system, or neuron input channel potentials associated with the neuron model can be normalized by one or more factors. A linear transformation can be determined for mapping of parameters of the neuron model. Then, the linear transformation can be applied to the parameters of the neuron model to obtain transformed parameters of the neuron model, and at least one of inputs to the neuron instances or dynamics of the neuron model based may be updated based at least in part on the transformed parameters.
摘要翻译：本公开的某些方面支持用于将神经元类型转换为人造神经系统的硬件实现的方法和装置。根据某些方面，人造神经系统的突触重量中的至少一个，与人造神经系统的神经元实例的神经元模型相关联的神经元输入通道电阻或与神经元模型相关联的神经元输入通道电位可以被一个或更多因素。可以确定神经元模型的参数映射的线性变换。然后，线性变换可以应用于神经元模型的参数以获得神经元模型的变换参数，并且至少基于神经元模型的神经元实例或动力学的输入中的至少一个可以至少部分地基于变换参数。

59. 发明申请

WO2014022239A1 ANATOMICAL GESTURES DETECTION SYSTEM USING RADIO SIGNALS 审中-公开
标题翻译：使用无线电信号的解剖学检测系统
公开(公告)号：WO2014022239A1
公开(公告)日：2014-02-06
申请号：PCT/US2013/052372
申请日：2013-07-26
申请人： QUALCOMM INCORPORATED
发明人： NEWHAM, Adam E. , JULIAN, David Jonathan
IPC分类号： G06F3/01
CPC分类号： G06F1/1694 , G06F1/1698 , G06F3/014 , G06F3/017 , H04M1/6066
摘要： A system for detecting anatomical gestures based on the interpretation of radio signal transmissions. A user may place wireless devices on his/her head and wrist(s) that communicate through short-range radio signals. The wireless devices may collect information regarding signal exchanges which may be analyzed by a computing device to determine positional information about the users hands. The computing device may compile the positional information into sequences and evaluate the sequences against predefined patterns of movement data. The computing device may interpret recognized movements as computer input commands. In an embodiment, multiple wireless devices may be placed on the users wrists to enable multi-touch input commands. In an embodiment, data from motion sensors, such as accelerometers and gyroscopes, may be combined with movement data based on radio signal information.
摘要翻译：一种用于基于无线电信号传输的解释来检测解剖手势的系统。用户可以将无线设备放置在通过短距离无线电信号进行通信的他/她的头部和手腕上。无线设备可以收集关于可以由计算设备分析的信号交换的信息，以确定关于用户的手的位置信息。计算设备可以将位置信息编译成序列，并根据预定义的运动数据模式评估序列。计算设备可以将识别的移动解释为计算机输入命令。在一个实施例中，可以将多个无线设备放置在用户手腕上以启用多点触摸输入命令。在一个实施例中，来自诸如加速度计和陀螺仪的运动传感器的数据可以基于无线电信号信息与移动数据组合。

60. 发明申请

WO2015175155A1 DISTRIBUTED MODEL LEARNING 审中-公开
标题翻译：分布式模型学习
公开(公告)号：WO2015175155A1
公开(公告)日：2015-11-19
申请号：PCT/US2015/026617
申请日：2015-04-20
申请人： QUALCOMM INCORPORATED
发明人： JULIAN, David Jonathan , SARAH, Anthony , WIERZYNSKI, Casimir Matthew
IPC分类号： G06N99/00
CPC分类号： G06N99/005 , G06N3/08
摘要： A method of learning a model includes receiving model updates from one or more users. The method also includes computing an updated model based on a previous model and the model updates. The method further includes transmitting data related to a subset of the updated model to the a user(s) based on the updated model.
摘要翻译：学习模型的方法包括从一个或多个用户接收模型更新。该方法还包括基于先前的模型和模型更新来计算更新的模型。该方法还包括基于所更新的模型将与更新的模型的子集相关的数据发送给用户。

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