18356640. INFORMATION PROCESSING APPARATUS, INFORMATION PROCESSING METHOD, AND STORAGE MEDIUM simplified abstract (CANON KABUSHIKI KAISHA)

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INFORMATION PROCESSING APPARATUS, INFORMATION PROCESSING METHOD, AND STORAGE MEDIUM

Organization Name

CANON KABUSHIKI KAISHA

Inventor(s)

TOMONORI Yazawa of Kanagawa (JP)

INFORMATION PROCESSING APPARATUS, INFORMATION PROCESSING METHOD, AND STORAGE MEDIUM - A simplified explanation of the abstract

This abstract first appeared for US patent application 18356640 titled 'INFORMATION PROCESSING APPARATUS, INFORMATION PROCESSING METHOD, AND STORAGE MEDIUM

Simplified Explanation

The abstract describes an information processing apparatus that includes memories and processors. The processors function as various units, including an acquisition unit, a base holding unit, a learning unit, and a first generation unit.

  • The acquisition unit acquires learning data, which includes data and a label indicating the category of the data.
  • The base holding unit holds a base for generating a representative vector in the category.
  • The learning unit learns a parameter related to the generation of the representative vector based on the acquired learning data.
  • The first generation unit generates the representative vector based on the parameter and the base.

Potential Applications:

  • Machine learning: This technology can be used in machine learning applications to generate representative vectors based on acquired learning data.
  • Data classification: The acquired learning data can be used to classify and categorize different types of data.

Problems Solved:

  • Efficient data processing: The information processing apparatus allows for efficient processing of large amounts of data by generating representative vectors.
  • Accurate categorization: By learning parameters related to the generation of representative vectors, the apparatus can accurately categorize data based on its category label.

Benefits:

  • Improved data analysis: The generated representative vectors can be used for various data analysis tasks, such as clustering, similarity comparison, and pattern recognition.
  • Enhanced decision-making: The accurate categorization of data can aid in making informed decisions based on the analyzed data.


Original Abstract Submitted

An information processing apparatus includes one or more memories, and one or more processors that, when executing instructions stored in the one or more memories, function as the following units: an acquisition unit configured to acquire learning data including data and a label indicating a category of the data, a base holding unit configured to hold a base for generating a representative vector in the category, a learning unit configured to learn a parameter related to generation of the representative vector based on the acquired learning data, and a first generation unit configured to generate the representative vector based on the parameter and the base.

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