Methods and apparatus for conditional classifier chaining in a constrained machine learning environment

    公开(公告)号:US10863329B2

    公开(公告)日:2020-12-08

    申请号:US16226131

    申请日:2018-12-19

    Abstract: Methods, apparatus, systems, and articles of manufacture for conditional classifier chaining in a constrained machine learning environment are disclosed. An example apparatus includes a classification controller to select a first model to be utilized to classify a first feature identified from sensor data. A memory controller is to copy the first model to a memory. A machine learning processor is to apply the first model to the first feature to create a first classification output, the first classification output indicating an identified class. The classification controller is to, in response to a determination that the first classification output identifies a second model to be used for classification, instruct the memory controller to load the second model into the memory. The machine learning processor is to apply the second model to the second feature to create a second classification output.

    METHODS AND APPARATUS FOR CONDITIONAL CLASSIFIER CHAINING IN A CONSTRAINED MACHINE LEARNING ENVIRONMENT

    公开(公告)号:US20190124488A1

    公开(公告)日:2019-04-25

    申请号:US16226131

    申请日:2018-12-19

    Abstract: Methods, apparatus, systems, and articles of manufacture for conditional classifier chaining in a constrained machine learning environment are disclosed. An example apparatus includes a classification controller to select a first model to be utilized to classify a first feature identified from sensor data. A memory controller is to copy the first model to a memory. A machine learning processor is to apply the first model to the first feature to create a first classification output, the first classification output indicating an identified class. The classification controller is to, in response to a determination that the first classification output identifies a second model to be used for classification, instruct the memory controller to load the second model into the memory. The machine learning processor is to apply the second model to the second feature to create a second classification output.

    METHODS AND APPARATUS TO IMPROVE ACCURACY OF EDGE AND/OR A FOG-BASED CLASSIFICATION

    公开(公告)号:US20190102659A1

    公开(公告)日:2019-04-04

    申请号:US16147043

    申请日:2018-09-28

    Abstract: Methods, apparatus, systems and articles of manufacture to improve accuracy of a fog/edge-based classifier system are disclosed. An example apparatus includes a transducer to mounted on a tracked object, the transducer to generate data samples corresponding to the tracked object; a discriminator to: generate a first classification using a first model based on a first calculated feature of the first data samples from the transducer, the first model corresponding to calculated features determined from second data samples, the second data samples obtained prior to the first data samples; generate an offset based on a difference between a first model feature the first model and a second model feature of a second model, the second model being different than the first model; and adjust the first calculated feature using the offset to generate an adjusted feature; a pattern matching engine to generate a second classification using vectors corresponding to the second model based on the adjusted feature; and a counter to, when the first classification matches the second classification, increment a count.

    Methods and apparatus to improve accuracy of edge and/or a fog-based classification

    公开(公告)号:US11556748B2

    公开(公告)日:2023-01-17

    申请号:US16147043

    申请日:2018-09-28

    Abstract: Methods, apparatus, systems and articles of manufacture to improve accuracy of a fog/edge-based classifier system are disclosed. An example apparatus includes a transducer to mounted on a tracked object, the transducer to generate data samples corresponding to the tracked object; a discriminator to: generate a first classification using a first model based on a first calculated feature of the first data samples from the transducer, the first model corresponding to calculated features determined from second data samples, the second data samples obtained prior to the first data samples; generate an offset based on a difference between a first model feature the first model and a second model feature of a second model, the second model being different than the first model; and adjust the first calculated feature using the offset to generate an adjusted feature; a pattern matching engine to generate a second classification using vectors corresponding to the second model based on the adjusted feature; and a counter to, when the first classification matches the second classification, increment a count.

    METHODS AND APPARATUS TO COMPRESS PACKETS IN A COMPUTING ENVIROMENT

    公开(公告)号:US20210377366A1

    公开(公告)日:2021-12-02

    申请号:US17344491

    申请日:2021-06-10

    Abstract: An apparatus is disclosed to compress packets, the apparatus comprising; a data analyzer to identify a new destination address and a protocol identifier of an input packet corresponding to a new destination node and a communication system between the new destination node and a source node; a compression engine to utilize a plurality of compression functions based on the new destination address and the protocol identifier and reduce a size of the input packet; a compression analyzer to identify a reduced packet and a compression function identifier corresponding to the reduced packet, the compression function identifier associated with one of the compression functions; and a source modifier to construct a packet to include the compression function identifier by modifying unregistered values of a protocol identifier by a difference associated with the compression function identifier, the packet to inform the new destination node of a compression function.

    Methods and apparatus to compress packets in a computing environment

    公开(公告)号:US11038990B2

    公开(公告)日:2021-06-15

    申请号:US16235722

    申请日:2018-12-28

    Abstract: An apparatus is disclosed to compress packets, the apparatus comprising; a data analyzer to identify a new destination address and a protocol identifier of an input packet corresponding to a new destination node and a communication system between the new destination node and a source node; a compression engine to utilize a plurality of compression functions based on the new destination address and the protocol identifier and reduce a size of the input packet; a compression analyzer to identify a reduced packet and a compression function identifier corresponding to the reduced packet, the compression function identifier associated with one of the compression functions; and a source modifier to construct a packet to include the compression function identifier by modifying unregistered values of a protocol identifier by a difference associated with the compression function identifier, the packet to inform the new destination node of a compression function.

    METHODS, SYSTEMS, ARTICLES OF MANUFACTURE, AND APPARATUS TO CONTROL DATA ACQUISITION SETTINGS IN EDGE-BASED DEPLOYMENTS

    公开(公告)号:US20200027008A1

    公开(公告)日:2020-01-23

    申请号:US16586425

    申请日:2019-09-27

    Abstract: Methods, systems, articles of manufacture and apparatus to control data acquisition settings in edge-based deployments are disclosed. An example apparatus includes a model generator to transform sensor data to variance data, and differentiate the variance data to generate variance rate of change data. The example apparatus also includes a model analyzer to determine subsets of the variance rate of change data associated with respective data acquisition settings, determine a count of data points corresponding to the rate of change data, and determine an interval spacing value based on the count of the data points and a number of subsets of the variance rate of change data. The example apparatus also includes a solution identifier to calculate candidate solutions at respective ones of the data points corresponding to the interval spacing value, respective ones of the candidate solutions corresponding to respective data acquisition settings of a data acquisition system, and select one of the candidate solutions satisfying an operational threshold of the data acquisition system.

    METHODS AND APPARATUS TO COMPRESS PACKETS IN A COMPUTING ENVIROMENT

    公开(公告)号:US20190141167A1

    公开(公告)日:2019-05-09

    申请号:US16235722

    申请日:2018-12-28

    Abstract: An apparatus is disclosed to compress packets, the apparatus comprising; a data analyzer to identify a new destination address and a protocol identifier of an input packet corresponding to a new destination node and a communication system between the new destination node and a source node; a compression engine to utilize a plurality of compression functions based on the new destination address and the protocol identifier and reduce a size of the input packet; a compression analyzer to identify a reduced packet and a compression function identifier corresponding to the reduced packet, the compression function identifier associated with one of the compression functions; and a source modifier to construct a packet to include the compression function identifier by modifying unregistered values of a protocol identifier by a difference associated with the compression function identifier, the packet to inform the new destination node of a compression function.

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