Airbnb, Inc.

Argyle Data, Inc.

David Aaron Staub

Wren Nancy Dougherty

Padraig Stapleton

Yat Choi

Ho Joon Park

Arshak Navruzyan

Systems and methods are provided for accessing a three-dimensional (3D) image comprising a 3D mesh comprising a plurality of vertices and each vertex of the plurality of vertices having respective 3D coordinates within a space of the 3D mesh. The systems and methods further provide for generating a subset of the plurality of vertices comprising vertices that are within a specified height range and have a specified orientation. The systems and methods further provide for generating a two-dimensional (2D) grid corresponding to the 3D mesh, applying the subset of the plurality of vertices to the 2D grid, and rendering a 2D image of the space comprising an outer border corresponding to the size and shape of the 2D grid and indications of walls within the space based on the applied subset of the plurality of vertices.

Generating two-dimensional plan from three-dimensional image data

In one example, a method includes receiving a feature vector that characterizes a call history for a telephone network subscriber, wherein the feature vector comprises respective categorical values for one or more categorical features and respective continuous values for one or more continuous features, and applying, to the categorical values, a first algorithm to determine a categorical score for the feature vector. The example method further includes applying, to the continuous values, an isolation forest algorithm to determine a continuous score for the feature vector, and outputting, in response to determining at least one of the categorical score for the feature vector and the continuous score for the feature vector indicate the feature vector is anomalous, an indication that the feature vector is anomalous.

Anomaly detection in streaming telephone network data

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San Francisco, CA, United States of America

David Aaron Staub