EVENT-BASED DOWN SAMPLING
    1.
    发明申请
    EVENT-BASED DOWN SAMPLING 有权
    基于事件的向下采样

    公开(公告)号:US20160080670A1

    公开(公告)日:2016-03-17

    申请号:US14853991

    申请日:2015-09-14

    Abstract: A method of event-based down sampling includes receiving multiple sensor events corresponding to addresses and time stamps. The method further includes spatially down sampling the addresses based on the time stamps and the addresses. The method may also include updating a pixel value for each of the multiple sensor events based on the down sampling.

    Abstract translation: 基于事件的下采样的方法包括接收与地址和时间戳对应的多个传感器事件。 该方法还包括基于时间戳和地址对地址进行空间下采样。 该方法还可以包括基于下采样来更新多个传感器事件中的每一个的像素值。

    EVENT-BASED INFERENCE AND LEARNING FOR STOCHASTIC SPIKING BAYESIAN NETWORKS
    2.
    发明申请
    EVENT-BASED INFERENCE AND LEARNING FOR STOCHASTIC SPIKING BAYESIAN NETWORKS 审中-公开
    基于事件的干预和学习用于STOCHASTIC SPIKING BAYESIAN网络

    公开(公告)号:US20150242745A1

    公开(公告)日:2015-08-27

    申请号:US14281220

    申请日:2014-05-19

    CPC classification number: G06N3/08 G06N3/049 G06N7/005

    Abstract: A method of performing event-based Bayesian inference and learning includes receiving input events at each node. The method also includes applying bias weights and/or connection weights to the input events to obtain intermediate values. The method further includes determining a node state based on the intermediate values. Further still, the method includes computing an output event rate representing a posterior probability based on the node state to generate output events according to a stochastic point process.

    Abstract translation: 执行基于事件的贝叶斯推理和学习的方法包括在每个节点处接收输入事件。 该方法还包括将偏置权重和/或连接权重应用于输入事件以获得中间值。 该方法还包括基于中间值来确定节点状态。 此外,该方法还包括基于节点状态计算表示后验概率的输出事件速率,以根据随机点处理生成输出事件。

    EVENT-BASED SPATIAL TRANSFORMATION
    4.
    发明申请
    EVENT-BASED SPATIAL TRANSFORMATION 有权
    基于事件的空间转换

    公开(公告)号:US20160078001A1

    公开(公告)日:2016-03-17

    申请号:US14855351

    申请日:2015-09-15

    CPC classification number: G06F17/141 G06K9/20 G06K9/522

    Abstract: A method for computing a spatial Fourier transform for an event-based system includes receiving an asynchronous event output stream including one or more events from a sensor. The method further includes computing a discrete Fourier transform (DFT) matrix based on dimensions of the sensor. The method also includes computing an output based on the DFT matrix and applying the output to an event processor.

    Abstract translation: 一种用于计算基于事件的系统的空间傅里叶变换的方法包括从传感器接收包括一个或多个事件的异步事件输出流。 该方法还包括基于传感器的尺寸计算离散傅立叶变换(DFT)矩阵。 该方法还包括基于DFT矩阵计算输出并将该输出应用于事件处理器。

    EVENT-DRIVEN TEMPORAL CONVOLUTION FOR ASYNCHRONOUS PULSE-MODULATED SAMPLED SIGNALS
    5.
    发明申请
    EVENT-DRIVEN TEMPORAL CONVOLUTION FOR ASYNCHRONOUS PULSE-MODULATED SAMPLED SIGNALS 审中-公开
    用于异步脉冲调制采样信号的事件驱动时间演变

    公开(公告)号:US20160071005A1

    公开(公告)日:2016-03-10

    申请号:US14835664

    申请日:2015-08-25

    CPC classification number: G06N3/08 G06F17/15 G06N3/04 G06N3/049

    Abstract: A method of processing asynchronous event-driven input samples of a continuous time signal, includes calculating a convolutional output directly from the event-driven input samples. The convolutional output is based on an asynchronous pulse modulated (APM) encoding pulse. The method further includes interpolating output between events.

    Abstract translation: 处理连续时间信号的异步事件驱动输入样本的方法包括直接从事件驱动输入样本计算卷积输出。 卷积输出基于异步脉冲调制(APM)编码脉冲。 该方法还包括在事件之间内插输出。

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