APPARATUS, METHOD, AND COMPUTER PROGRAM PRODUCT FOR COMPUTING OCCURRENCE PROBABLILTY OF VECTOR
Patent №
US 9,779,062
Granted
2017-10-03
Filed 2015
Owner
KABUSHIKI KAISHA TOSHIBA
Lab
—
AI components
4
ml · vision · kr · hardware
Assignment
Recorded
Dataset
AIPD
2023_r1 edition
Application
14937566
According to an embodiment, a computing apparatus includes a memory, and a processor. The memory stores N first vectors in a d-dimensional binary vector space consisting of binary values. The processor acquires a second vector in the d-dimensional binary vector space. The processor extracts M first vectors having a distance from the second vector satisfying a first condition out of the N first vectors, and calculate a distribution of distances of the M first vectors from the second vector. The processor acquires a first kernel function per a first distance between the M first vectors and the second vector in a first range. The processor generates a second kernel function based on the distribution and the first kernel functions. The processor calculates an occurrence probability of the second vector in the N first vectors based on the second kernel function.
AI classification
Ownership
KABUSHIKI KAISHA TOSHIBA
assignment · 374140327
Assignors
ITO, SATOSHI, KUBOTA, SUSUMU, NAKAI, TOMOHIRO
On an employer assignment, the assignors are typically the inventors.