SPARSE DISTRIBUTED REPRESENTATION OF SPATIAL-TEMPORAL DATA

摘要

Coordinate data is encoded as a distributed representation for processing and analysis by a machine-intelligence system such as a hierarchical temporal memory system. Input coordinates represented in coordinate space having at least one dimension are obtained. The input coordinates change over time. A corresponding region around each of the input coordinates in the coordinate space is determined. A subset of coordinates within the corresponding region for each of the input coordinates is selected. A distributed representation for each of the input coordinates reflecting the selected subset of coordinates for each of the input coordinates is generated. The distributed representation may be provided to one or more processing nodes for detection of temporal sequences and spatial patterns. Based on discrepancies between predicted coordinate data and actual coordinate data, anomalies may be detected.

主权项

1. A method for encoding coordinate data, the method comprising:
obtaining input coordinates represented in coordinate space having at least one dimension, the input coordinates changing over time; determining a corresponding region around each of the input coordinates in the coordinate space; selecting a subset of coordinates within the corresponding region for each of the input coordinates; and generating a sparse distributed representation for each of the input coordinates reflecting the selected subset of coordinates for each of the input coordinates, the sparse distributed representation comprising a greater number of inactive elements than active elements.