Hewlett Packard Enterprise Development LP

Entit Software LLC

Omar Aguilar Macedo

Mehran Kafai

Kave Eshghi

Hongwei Shang

Le An

An example method is provided in according with one implementation of the present disclosure. The method comprises generating, via a processor, a set of hashes for each of a plurality of objects. The method also comprises computing, via the processor, a high-dimensional sparse vector for each object, where the vector represents the set of hashes for each object. The method further comprises computing, via the processor, a combined high-dimensional sparse vector from the high-dimensional sparse vectors for all objects and computing a hash suppression threshold. The method also comprises determining, via the processor, a group of hashes to be suppressed by using the hash suppression threshold, and suppressing, via the processor, the group of selected hashes when performing an action.

Hash suppression

Dynamically updating a ridge regression data model of a continuous stream of data is disclosed. New data chunks corresponding to a current data accumulation point are received and the data values in the new data chunks are transformed via standardization methods. A ridge estimator for the standardized data that includes data chunks received up to a penultimate data accumulation point to include the new data chunks is dynamically updated. The cumulative observations received up to the current data accumulation point are updated and stored. Predictions for the continuous data stream are generated based on the updated ridge estimator.

Updating data models for streaming data

An example method is provided in according with one implementation of the present disclosure. The method comprises generating a base image representing a location of a wireless-enabled device with data from a plurality of wireless beacons and generating an image fingerprint for the location of the wireless-enabled device by using the base image. The method further comprises comparing the image fingerprint for the location of the wireless-enabled device with a plurality of existing image fingerprints associated with the plurality of wireless beacons, and determining a location of the wireless-enabled device based on the comparison.

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Tlaquepaque, Mexico

Omar Aguilar Macedo