公开(公告)号：US20200167312A1

公开(公告)日：2020-05-28

申请号：US16073961

申请日：2015-12-11

Applicant: Hewlett Packard Enterprise Development LP

Inventor： Mehran Kafai ,  Kave Eshghi ,  Omar Aguilar Macedo

IPC: G06F16/13

Abstract: 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.

公开(公告)号：US11709798B2

公开(公告)日：2023-07-25

申请号：US17500843

申请日：2021-10-13

Applicant: HEWLETT PACKARD ENTERPRISE DEVELOPMENT LP

Inventor： Mehran Kafai ,  Kave Eshghi ,  Omar Aguilar Macedo

IPC: G06F7/00 ,  G06F16/13

CPC classification number: G06F16/137

Abstract: 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.

公开(公告)号：US20170316338A1

公开(公告)日：2017-11-02

申请号：US15142357

申请日：2016-04-29

Applicant: Hewlett Packard Enterprise Development LP

Inventor： Kave Eshghi ,  Mehran Kafai ,  Omar Aguilar Macedo

IPC: G06N99/00 ,  G06F17/30

CPC classification number: G06N20/00 ,  G06F16/285

Abstract: In some examples, a method includes accessing input vectors in an input space, wherein the input vectors characterize elements of a physical system. The method may also include generating feature vectors from the input vectors, and the feature vectors are generated without any vector product operations between performed between any of the input vectors. An inner product of a pair of the feature vectors may correlate to an implicit kernel for the pair of feature vectors, and the implicit kernel may approximate a Gaussian kernel within a difference threshold. The method may further include providing the feature vectors to an application engine for use in analyzing the elements of the physical system, other elements in the physical system, or a combination of both.

公开(公告)号：US20220066988A1

公开(公告)日：2022-03-03

申请号：US17500843

申请日：2021-10-13

Applicant: HEWLETT PACKARD ENTERPRISE DEVELOPMENT LP

Inventor： Mehran Kafai ,  Kave Eshghi ,  Omar Aguilar Macedo

IPC: G06F16/13

Abstract: 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.

公开(公告)号：US10579623B2

公开(公告)日：2020-03-03

申请号：US15143138

申请日：2016-04-29

Applicant: HEWLETT PACKARD ENTERPRISE DEVELOPMENT LP

Inventor： Mehran Kafai ,  Hongwei Shang ,  Omar Aguilar Macedo

IPC: G06F16/2455 ,  G06N7/00

Abstract: 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.

公开(公告)号：US11169964B2

公开(公告)日：2021-11-09

申请号：US16073961

申请日：2015-12-11

Applicant: Hewlett Packard Enterprise Development LP

Inventor： Mehran Kafai ,  Kave Eshghi ,  Omar Aguilar Macedo

IPC: G06F7/00 ,  G06F16/13

Abstract: 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.