LOCALIZING TREE-BASED CONVOLUTIONAL NEURAL NETWORKS

Patent №

US 11,106,970

Granted

2021-08-31

Filed 2017

Owner

INTERNATIONAL BUSINESS MACHINES CORPORATION

AI components

4

ml · vision · planning · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

15815771

In an approach to localizing tree-based convolutional neural networks, a method includes creating a first tree-based convolution layer (TBCL) corresponding to a tree, where the tree includes a first plurality of nodes and a node that has been indicated to be a first pivotal node. The first TBCL includes a second plurality of nodes and a second pivotal node having a feature vector based on node data from the first pivotal node. The method also includes creating a second TBCL corresponding to the tree. The second TBCL may include a third plurality of nodes. The method further includes determining a feature vector a third pivotal node in the third plurality of nodes based on the feature vectors from: (i) the second pivotal node, (ii) a parent node of the second pivotal node, and (iii) a child node of the second pivotal node.

Machine learningVisionPlanningAI hardwareG06N 3/048G06F 8/427G06F 9/454G06N 3/045G06N 3/0464G06N 3/08G06N 5/01

AI classification

Machine learning1.00
AI hardware1.00
Vision0.99
Planning0.97
Knowledge representation0.29
Natural language0.01
Evolutionary computation0.00
Speech0.00

Ownership

INTERNATIONAL BUSINESS MACHINES CORPORATION

assignment · 441570884

Assignors

LE, TUNG D., SEKIYAMA, TARO

On an employer assignment, the assignors are typically the inventors.

From the same owner

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