Enhanced exploration of dimensionally reduced data

    公开(公告)号:US10891335B2

    公开(公告)日:2021-01-12

    申请号:US15860719

    申请日:2018-01-03

    Abstract: Methods for enhanced exploration of dimensionally reduced data. The method including: obtaining at least one data set having a plurality of data objects, wherein each data object is characterized by a plurality of numerical features; applying a dimensionality reduction technique to the at least one data set; generating a two-dimensional scatter plot of the at least one data set, wherein each data object in the plurality of data objects corresponds to a data point in a plurality of data points in the scatter plot; and altering at least one numerical feature of a data object in the plurality of data objects, wherein a position of the data point corresponding to the data object is affected in real-time, and wherein the remaining data points in the plurality of data points are unaffected. In addition, the present invention provides another method and computer program product.

    Locomotion in virtual reality desk applications

    公开(公告)号:US10775879B1

    公开(公告)日:2020-09-15

    申请号:US16297644

    申请日:2019-03-09

    Abstract: A virtual reality (VR) system for VR desk application that allows a user to move in a VR environment while sitting in front of a working desk is provided. The VR system receives sensor data from a mobile device. The VR system generates a set of sitting motion data by interpreting the received sensor data as a motion of a limb of a person in a sitting posture. The VR system maps the set of sitting motion data into a set of movements in the VR environment. The VR system renders the VR environment and presents the rendered VR environment.

    Interactive visualization evaluation for classification models

    公开(公告)号:US11238369B2

    公开(公告)日:2022-02-01

    申请号:US16148432

    申请日:2018-10-01

    Abstract: Methods and systems of classification model evaluation are described. A processor may generate a classifier track comprising visual indicators representing the set of classifier labels. The classifier labels may be based on output data of a classification model. The processor may generate a label track comprising visual indicators representing a set of observed labels received from a device. The processor may output the classifier track and the label track on a user interface. The processor may receive a request to evaluate the classification model, where the request may indicate a performance metric. The processor may identify a set of operators associated with the performance metric. The processor may execute the identified set of operators on the classifier track and the label track. The processor may generate a performance track indicating the performance metric of the classification model. The processor may output the performance track on the user interface.

    Augmented reality speed reading
    9.
    发明授权

    公开(公告)号:US10725540B2

    公开(公告)日:2020-07-28

    申请号:US16023427

    申请日:2018-06-29

    Abstract: Augmented reality speed reading is provided by detecting a reader's changing gaze direction; detecting movements of the reader's eye; and between movements of the reader's eye, displaying text at the reader's gaze direction. An exemplary apparatus includes an eye illuminator that delivers light to a reader's eye; an eyeward camera that generates digital images of the reader's eye including reflected light from the eye illuminator; a display; and a processor that is connected in communication with the eyeward camera and the display. The processor implements an eye tracking module that receives the digital images from the eyeward camera and detects the reader's gaze direction, and the processor implements a text display module that controls the display to present text at the reader's gaze direction.

    ENHANCED EXPLORATION OF DIMENSIONALLY REDUCED DATA

    公开(公告)号:US20190205478A1

    公开(公告)日:2019-07-04

    申请号:US15860719

    申请日:2018-01-03

    CPC classification number: G06F16/9024 G06F17/15 G06F17/17 G06F17/18 G06T11/206

    Abstract: Methods for enhanced exploration of dimensionally reduced data. The method including: obtaining at least one data set having a plurality of data objects, wherein each data object is characterized by a plurality of numerical features; applying a dimensionality reduction technique to the at least one data set; generating a two-dimensional scatter plot of the at least one data set, wherein each data object in the plurality of data objects corresponds to a data point in a plurality of data points in the scatter plot; and altering at least one numerical feature of a data object in the plurality of data objects, wherein a position of the data point corresponding to the data object is affected in real-time, and wherein the remaining data points in the plurality of data points are unaffected. In addition, the present invention provides another method and computer program product.

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