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USPTO Patent Grant for Feature Space Management

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Published March 24th, 2026
Detected March 24th, 2026
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Summary

The USPTO has granted patent US12585705B2 to LEMON INC. for a method of feature space management in data samples, utilizing global and local representations to capture domain-specific knowledge. The patent was granted on March 24, 2026.

What changed

The United States Patent and Trademark Office (USPTO) has issued patent US12585705B2 to LEMON INC. for a novel method of managing feature spaces in data samples. This patent, granted on March 24, 2026, describes techniques for generating a feature representation by combining global and local representations, aiming to create exclusive feature spaces for different domains to capture specific knowledge and characteristics. The patent application was filed on August 29, 2023, and includes 18 claims.

This patent grant represents a new intellectual property asset for LEMON INC. and potentially impacts companies developing AI and machine learning technologies, particularly those focused on data sample analysis and domain-specific feature extraction. While this is a patent grant and not a regulatory rule imposing direct compliance obligations, companies operating in AI and data analytics should be aware of this patented technology, as it may affect their freedom to operate or require licensing for similar functionalities. No immediate compliance actions are required for entities outside of LEMON INC., but legal and R&D departments should assess potential IP conflicts.

Source document (simplified)

← USPTO Patent Grants

Feature space management

Grant US12585705B2 Kind: B2 Mar 24, 2026

Assignee

LEMON INC.

Inventors

Meng Xin, Silun Wang, Huang Zou, Yu Zhang

Abstract

There are proposed methods, devices, and computer program products for extending a feature space of a data sample. In the method, a global representation is obtained for a feature in a plurality of features of the data sample. A local representation is obtained for the feature based on a classifying criterion for classifying the data sample into one of a plurality of predefined domains. A representation is generated for the feature of the data sample based on the global representation and the local representation. With these implementations, an exclusive feature space may be created for each domain identified by the classifying criterion, which is dedicated to capturing domain-specific knowledge and characteristics.

CPC Classifications

G06F 16/906 G06V 10/7715 G06N 20/00

Filing Date

2023-08-29

Application No.

18458001

Claims

18

View original document →

Named provisions

Feature space management

Classification

Agency
USPTO
Published
March 24th, 2026
Instrument
Rule
Legal weight
Binding
Stage
Final
Change scope
Minor
Document ID
US12585705B2

Who this affects

Applies to
Technology companies
Industry sector
5112 Software & Technology
Activity scope
Intellectual Property Management AI Development
Geographic scope
United States US

Taxonomy

Primary area
Intellectual Property
Operational domain
Legal
Topics
Artificial Intelligence Data Management

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