Invention Grant
- Patent Title: Efficient storage and processing of high-dimensional feature vectors
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Application No.: US16235823Application Date: 2018-12-28
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Publication No.: US11055349B2Publication Date: 2021-07-06
- Inventor: Luis Carlos Maria Remis , Vishakha Gupta , Christina R. Strong , Philip R. Lantz
- Applicant: Intel Corporation
- Applicant Address: US CA Santa Clara
- Assignee: Intel Corporation
- Current Assignee: Intel Corporation
- Current Assignee Address: US CA Santa Clara
- Agency: Alliance IP, LLC
- Main IPC: G06F16/901
- IPC: G06F16/901 ; G06F16/903 ; G06K9/62 ; G06F16/22 ; G06F16/2455

Abstract:
In one embodiment, an apparatus comprises a storage device and a processor. The storage device stores a feature vector index, wherein the feature vector index comprises a sparse-array data structure representing a feature space for a set of labeled feature vectors, wherein the set of labeled feature vectors are assigned to a plurality of classes. The processor is to: receive a query corresponding to a target feature vector; access, via the storage device, a first portion of the feature vector index, wherein the first portion of the feature vector index comprises a subset of labeled feature vectors that correspond to a same portion of the feature space as the target feature vector; determine the corresponding class of the target feature vector based on the subset of labeled feature vectors; and provide a response to the query based on the corresponding class.
Public/Granted literature
- US20190138554A1 EFFICIENT STORAGE AND PROCESSING OF HIGH-DIMENSIONAL FEATURE VECTORS Public/Granted day:2019-05-09
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