APPARATUS AND METHOD WITH OUT-OF-DISTRIBUTION DATA DETECTION

    公开(公告)号:US20240242072A1

    公开(公告)日:2024-07-18

    申请号:US18360229

    申请日:2023-07-27

    CPC classification number: G06N3/08

    Abstract: An apparatus and method with out-of-distribution data detection is provided. The apparatus includes one or more processors configured to execute instructions; and one or more memories storing the instructions, wherein, the execution of the instructions by the one or more processors configures the one or more processors to generate output data using a neural network model provided input data; determine, based on the output data, a maximum loss value among calculated loss values that correspond to neighboring data within a reference distance from the input data; and detect, based on the maximum loss value and a threshold, whether the input data is out-of-distribution (OOD) data that is different from in-distribution data corresponding to training data used in a training of the neural network model.

    FINGERPRINT DETECTION SENSOR AND FINGERPRINT DETECTION SYSTEM COMPRISING THE SAME
    2.
    发明申请
    FINGERPRINT DETECTION SENSOR AND FINGERPRINT DETECTION SYSTEM COMPRISING THE SAME 有权
    指纹检测传感器和包括其的手指检测系统

    公开(公告)号:US20160063295A1

    公开(公告)日:2016-03-03

    申请号:US14820825

    申请日:2015-08-07

    CPC classification number: G06K9/0002 G06K9/001

    Abstract: Example embodiments disclose a fingerprint recognition sensor and a fingerprint recognition system. The fingerprint recognition sensor may include a pad configured to apply a first wave signal having multi-frequency characteristics to an object, a signal applying electrode configured to transmit the first wave signal having multi-frequency characteristics to the pad and a signal receiving electrode configured to receive a reflection wave signal from the object to the pad based on the first wave signal.

    Abstract translation: 示例性实施例公开了一种指纹识别传感器和指纹识别系统。 指纹识别传感器可以包括被配置为向对象施加具有多频特性的第一波信号的焊盘,被配置为将具有多频特性的第一波信号发送到焊盘的信号施加电极和被配置为 基于第一波信号,从物体接收反射波信号到焊盘。

    METHOD AND APPARATUS WITH HYPERPARAMETER SEARCHING FOR NEURAL NETWORK LEARNING

    公开(公告)号:US20240242090A1

    公开(公告)日:2024-07-18

    申请号:US18477139

    申请日:2023-09-28

    CPC classification number: G06N3/0985

    Abstract: A method of searching for hyperparameters for neural network learning includes: obtaining a preset early stop point; determining whether a current trial, among trials for searching for different combinations of hyperparameters, corresponds to a dry run trial; in response to a determination that the current trial corresponds to a dry run trial: executing learning epochs belonging to the current trial; searching for a combination of hyperparameters assigned to the current trial according to a result of the executing of the learning epochs; and changing the early stop point by based on whether an early stop with respect to a found combination of the hyperparameters is a success in each of the learning epochs.

    METHOD AND APPARATUS WITH TEXT CLASSIFICATION MODEL

    公开(公告)号:US20240242027A1

    公开(公告)日:2024-07-18

    申请号:US18336578

    申请日:2023-06-16

    CPC classification number: G06F40/279 G06F40/247

    Abstract: A method and apparatus for classifying a text using a text classification model are disclosed. In one general aspect, an apparatus is for outputting a classification result for an input text including words by using a text classification model, and the apparatus includes: one or more processors; a memory including instructions configured to cause the one or more processors to: determine whether the input text indicates an anomaly; and responsive to determining that the input text indicates an anomaly: determine saliencies of the respective words; select target words from among the words based on the saliencies; generate a replaced text by replacing, in the input text, the selected words with other words; and obtain a text classification result of the input text based on an inference upon the replaced text by the text classification model receiving the replaced text as an input.

    FINGERPRINT AUTHENTICATION SYSTEM AND METHOD OF AUTHENTICATION USING THE SAME
    9.
    发明申请
    FINGERPRINT AUTHENTICATION SYSTEM AND METHOD OF AUTHENTICATION USING THE SAME 审中-公开
    指纹认证系统和使用该认证的认证方法

    公开(公告)号:US20160217314A1

    公开(公告)日:2016-07-28

    申请号:US15007588

    申请日:2016-01-27

    CPC classification number: G06K9/00087 G06K9/0002 G06K9/0008

    Abstract: Provided is a fingerprint authentication system and a method of authentication. The fingerprint authentication system may have a configuration to analyze a reflection wave signal reflected at a surface of an object under examination or an internal of the object under examination by applying a wave signal from at least one of signal communication unit of a fingerprint sensor to the object under examination. In the method of authentication, the controller in the fingerprint authentication system may be configured to selectively perform a first step authentication to authenticate a shape of a fingerprint, and a second step authentication to detect internal biometric information of the object under examination.

    Abstract translation: 提供了一种指纹认证系统和认证方法。 指纹验证系统可以具有通过将来自指纹传感器的信号通信单元中的至少一个的波形信号施加到所述检测对象的表面上的反射波信号或者被检查物体的内部来分析反射波信号的结构, 检查对象 在认证方法中,指纹认证系统中的控制器可以被配置为选择性地执行第一步认证以认证指纹的形状,以及第二步骤认证,以检测被检查对象的内部生物特征信息。

    MOBILE DEVICE WHICH SENSES PARTICULATE MATTER AND METHOD OF SENSING PARTICULATE MATTER WITH THE MOBILE DEVICE
    10.
    发明申请
    MOBILE DEVICE WHICH SENSES PARTICULATE MATTER AND METHOD OF SENSING PARTICULATE MATTER WITH THE MOBILE DEVICE 有权
    感测颗粒物的移动装置和用移动装置感测颗粒物的方法

    公开(公告)号:US20160025628A1

    公开(公告)日:2016-01-28

    申请号:US14663091

    申请日:2015-03-19

    Abstract: A mobile device which senses particulate matter is provided. The mobile device includes a housing having an air flow path through which air flows when the mobile device is shaken; an inertia sensor that detects acceleration of the mobile device; a light-scattering type sensor that irradiates the air flow path with light and detects particulate matter in air flowing through the air flow path; and a controller that includes a counter for counting the particulate matter detected by the light-scattering type sensor, and a flow rate calculator for detecting an air flow rate of the air flow path based on a detection signal of the inertia sensor.

    Abstract translation: 提供感测颗粒物质的移动装置。 移动设备包括具有空气流动通道的壳体,当移动设备被摇动时空气流过空气流动路径; 检测移动装置的加速度的惯性传感器; 光散射型传感器,其用光照射空气流路并检测流过空气流路的空气中的颗粒物质; 以及控制器,其包括用于计数由所述光散射型传感器检测到的颗粒物质的计数器,以及流量计算器,其基于所述惯性传感器的检测信号来检测所述空气流路的空气流量。

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