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Trinh et al., 2013 - Google Patents

Discovering contexts from observed human performance

Trinh et al., 2013

Document ID
15658571520458882835
Author
Trinh V
Gonzalez A
Publication year
Publication venue
IEEE Transactions on Human-Machine Systems

External Links

Snippet

This paper describes an investigation to determine the technical feasibility of discovering and identifying the various contexts experienced by a human performer (called an actor) solely from a trace of time-stamped values of variables. More specifically, the goal of this …
Continue reading at ieeexplore.ieee.org (other versions)

Classifications

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    • G06K9/6217Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
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    • G06F17/30587Details of specialised database models
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    • G06COMPUTING; CALCULATING; COUNTING
    • G06NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N5/00Computer systems utilising knowledge based models
    • G06N5/04Inference methods or devices
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N5/00Computer systems utilising knowledge based models
    • G06N5/02Knowledge representation
    • G06N5/022Knowledge engineering, knowledge acquisition
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    • G06K9/6267Classification techniques
    • G06K9/6279Classification techniques relating to the number of classes
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    • G06N3/00Computer systems based on biological models
    • G06N3/02Computer systems based on biological models using neural network models
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    • G06K9/00Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/62Methods or arrangements for recognition using electronic means
    • G06K9/68Methods or arrangements for recognition using electronic means using sequential comparisons of the image signals with a plurality of references in which the sequence of the image signals or the references is relevant, e.g. addressable memory
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    • G06K9/00624Recognising scenes, i.e. recognition of a whole field of perception; recognising scene-specific objects
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