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公开(公告)号：US20220108545A1
公开(公告)日：2022-04-07
申请号：US17422161
申请日：2020-01-14
Inventor： Young Joo LEE , Young Seok KIM , Gun Ho PARK , Hyun Hoon LEE
Abstract: The present disclosure provides is a high-speed image recognition method and apparatus using a 3D CNN. The high-speed image recognition method using the 3D CNN includes: inputting each of a first image clips among image clips constituting an input image to the 3D CNN; acquiring softmax function values calculated in the 3D CNN with respect to each of the first image clips; calculating a score margin by using the softmax function values; comparing the score margin with a predetermined threshold value to determine whether to input at least one additional image clip other than the first image clips among the image clips constituting the input image to the 3D CNN. Therefore, a calculation speed for image recognition can be improved.
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公开(公告)号：US20220350862A1
公开(公告)日：2022-11-03
申请号：US17607847
申请日：2020-11-26
Inventor： Young Joo LEE , Young Seok KIM , Seung Woo HONG
Abstract: A subspace pursuit apparatus for compressive sensing reconstruction includes: a first inner product unit configured to calculate a correlation between a residual vector and column vectors of a sensing matrix by calculating an inner product of them; a first sorting unit coupled to the first inner product unit and configured to select K column vector indices having highest correlations, where K is a sparsity level; a second inner product unit configured to calculate a matrix for calculating a pseudo-inverse matrix required for solving a least-squares from the sensing matrix to store in the Gram matrix buffer; a Cholesky inversion unit configured to perform a Cholesky decomposition of the matrix stored in the Gram matrix buffer and calculate an inverse of a decomposed matrix; and a sparse solution estimator configured to estimate the sparse solution from a matrix value of the matrix based on the inverse of the decomposed matrix.
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