METHOD AND APPARATUS FOR DYNAMIC PRINTER PERFORMANCE TUNING USING BAYESIAN ANALYSIS

Patent №

US 8,314,973

Granted

2012-11-20

Filed 2010

Owner

KONICA MINOLTA SYSTEMS LABORATORY, INC.

Lab

AI components

1

ml

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

12791274

A method and a printing implementing the method for dynamic printer performance tuning. The method includes the steps of processing a page to be printed by a printer description language interpreter to generate a Display List, selecting tuning parameters from the Display List data, analyzing the tuning parameters by a Bayesian analyzer to obtain a score for each tuning parameter, and based on the score of each tuning parameter, adjusting rendering settings of the tuning parameters for printing the page. The steps of training the Bayesian analyzer includes creating a set of training pages, rendering each page to determine best performance settings for each tuning parameter, grouping the pages based on tuning parameter settings, generating Display List data of each page, rendering the training pages in each group to compile training data that are saved for future printing jobs.

Machine learningG06K 15/02G06K 15/1823G06K 15/1825G06K 15/1849

AI classification

Machine learning1.00
Natural language0.49
Vision0.44
Planning0.26
Knowledge representation0.19
AI hardware0.09
Evolutionary computation0.00
Speech0.00

Ownership

KONICA MINOLTA SYSTEMS LABORATORY, INC.

assignment · 244700313

Assignors

HAYBER, KENNETH DAVID

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

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