ANOMALY DETECTION WITH REDUCED MEMORY OVERHEAD

    公开(公告)号:US20200273499A1

    公开(公告)日:2020-08-27

    申请号:US16281888

    申请日:2019-02-21

    Abstract: A method can include identifying, by processing circuitry of a device, a row of rows and/or column of columns to which a first feature and a second feature of an input maps, comparing the identified row and/or column to a row run length encoding (RLE) in a memory of the device that indicates, for each row, whether one or more cells in the row include an input mapped thereto or a column RLE in a memory of the device that indicates, for each column, whether one or more cells in the column include an input mapped thereto, respectively, and determining the input data is anomalous in response to determining either the row RLE indicates that no inputs are mapped to the row to which the input maps, or the column RLE indicates that no inputs are mapped to the column to which the input maps.

    Classification using cascaded spatial voting grids

    公开(公告)号:US11580331B2

    公开(公告)日:2023-02-14

    申请号:US16664408

    申请日:2019-10-25

    Abstract: A method can include identifying a first key value of a first cell of a first grid of grids of cells to which a first feature maps, embedding the first grid into each cell of a second grid, identifying a second key value of a second cell of the second grid to which a second feature maps, the second key value representative of the first and second key values, comparing the identified key value to the key values of a memory, in response to determining the identified key value is in the memory, and providing data indicating a class associated with the identified key value in the memory.

    OBJECT TRACKING USING SPATIAL VOTING

    公开(公告)号:US20230096901A1

    公开(公告)日:2023-03-30

    申请号:US17278135

    申请日:2021-02-17

    Abstract: A method for tracking an object can include receiving first data input including first feature values of features that indicate a first position. The method can further include generating a first grid of cells representing an object track with the received feature values within an extent of the first grid of cells. The method can further include receiving second data input including second feature values of the features that indicate a second position. The method can further include, in response to determining the second feature values are within the extent of the first grid of cells adding a point corresponding to the second feature values to the first grid of cells to associate the point to an object track.

    Encryption using spatial voting
    6.
    发明授权

    公开(公告)号:US11132923B2

    公开(公告)日:2021-09-28

    申请号:US16379162

    申请日:2019-04-09

    Abstract: A method of encryption using spatial voting can include determining a first feature and a second feature of user data, wherein the first feature and the second feature correspond to a cell of a subset of cells of a grid of cells, each cell of the subset of cells including a character associated therewith, altering one or more values of the first feature and the second feature to generate an altered first feature and an altered second feature, and concatenating the altered first feature and the altered second feature to generate encrypted data.

    MACHINE LEARNING TECHNIQUE SELECTION AND IMPROVEMENT

    公开(公告)号:US20190279112A1

    公开(公告)日:2019-09-12

    申请号:US16297202

    申请日:2019-03-08

    Abstract: A method can include determining a cell of a grid to which a first feature and a second feature of each of a plurality of input/output examples maps, determining an average of respective features of the cell to generate respective level 2 synthetic feature vectors, for each cell with an input/output example of the input/output examples mapped thereto, generating a sub-grid of cells and map the input/output examples mapped to a cell of the sub-grid, determining an average of respective features to generate respective level 1 synthetic feature vectors comprising the average of the respective features, training the ML technique using the level 2 synthetic feature vector, testing the trained ML technique using the level 1 synthetic feature vector of each sub-cell, and further testing the trained ML technique using the input/output examples to generate a class and confidence for each of the input/output examples.

    CLASSIFICATION USING CASCADED SPATIAL VOTING GRIDS

    公开(公告)号:US20210124998A1

    公开(公告)日:2021-04-29

    申请号:US16664408

    申请日:2019-10-25

    Abstract: A method can include identifying a first key value of a first cell of a first grid of grids of cells to which a first feature maps, embedding the first grid into each cell of a second grid, identifying a second key value of a second cell of the second grid to which a second feature maps, the second key value representative of the first and second key values, comparing the identified key value to the key values of a memory, in response to determining the identified key value is in the memory, and providing data indicating a class associated with the identified key value in the memory.

    Anomaly detection with reduced memory overhead

    公开(公告)号:US10937465B2

    公开(公告)日:2021-03-02

    申请号:US16281888

    申请日:2019-02-21

    Abstract: A method can include identifying, by processing circuitry of a device, a row of rows and/or column of columns to which a first feature and a second feature of an input maps, comparing the identified row and/or column to a row run length encoding (RLE) in a memory of the device that indicates, for each row, whether one or more cells in the row include an input mapped thereto or a column RLE in a memory of the device that indicates, for each column, whether one or more cells in the column include an input mapped thereto, respectively, and determining the input data is anomalous in response to determining either the row RLE indicates that no inputs are mapped to the row to which the input maps, or the column RLE indicates that no inputs are mapped to the column to which the input maps.

    Gene expression programming
    10.
    发明授权

    公开(公告)号:US11507847B2

    公开(公告)日:2022-11-22

    申请号:US16522235

    申请日:2019-07-25

    Abstract: Gene expression programming-based behavior monitoring is disclosed. A machine receives, as input, a plurality of data examples. A method can include receiving data indicating behaviors of the device, determining, using a gene expression programming (GEP) method, a data model that explains the data, and comparing further data indicating further behavior of the device to the data model to determine whether the further behavior is explained by the data model.

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