- Patent Title: Technologies for classification using sparse coding in real time
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Application No.: US15200069Application Date: 2016-07-01
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Publication No.: US10282641B2Publication Date: 2019-05-07
- Inventor: Nilesh K. Jain , Soonam Lee
- Applicant: Intel Corporation
- Applicant Address: US CA Santa Clara
- Assignee: Intel Corporation
- Current Assignee: Intel Corporation
- Current Assignee Address: US CA Santa Clara
- Agency: Barnes & Thornburg LLP
- Main IPC: G06K9/46
- IPC: G06K9/46 ; G06K9/48 ; G06K9/62

Abstract:
Technologies for classification using sparse coding are disclosed. A compute device may include a pattern-matching accelerator, which may be able to determine the distance between an input vector (such as an image) and several basis vectors of an overcomplete dictionary stored in the pattern-matching accelerator. The pattern matching accelerator may be able to determine each of the distances simultaneously and in a fixed amount of time (i.e., with no dependence on the number of basis vectors to which the input vector is being compared). The pattern-matching accelerator may be used to determine a set of sparse coding coefficients corresponding to a subset of the overcomplete basis vectors. The sparse coding coefficients can then be used to classify the input vector.
Public/Granted literature
- US20180005086A1 TECHNOLOGIES FOR CLASSIFICATION USING SPARSE CODING IN REAL TIME Public/Granted day:2018-01-04
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