Nec corporation (20240104902). LEARNING DEVICE, LEARNING METHOD, AND RECORDING MEDIUM simplified abstract
Contents
- 1 LEARNING DEVICE, LEARNING METHOD, AND RECORDING MEDIUM
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 LEARNING DEVICE, LEARNING METHOD, AND RECORDING MEDIUM - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Potential Applications
- 1.6 Problems Solved
- 1.7 Benefits
- 1.8 Potential Commercial Applications
- 1.9 Possible Prior Art
- 1.10 Unanswered Questions
- 1.11 Original Abstract Submitted
LEARNING DEVICE, LEARNING METHOD, AND RECORDING MEDIUM
Organization Name
Inventor(s)
LEARNING DEVICE, LEARNING METHOD, AND RECORDING MEDIUM - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240104902 titled 'LEARNING DEVICE, LEARNING METHOD, AND RECORDING MEDIUM
Simplified Explanation
The patent application describes a system that acquires data from different domains, aligns the data, extracts features, and classifies the data based on the features.
- Data acquisition means acquires source domain data and target domain data.
- Alignment means converts the source domain data and the target domain data into images of a predetermined reference angle.
- Feature extraction means extracts local features of the source domain data and the target domain data.
- Classification means classifies a class based on the local features of the source domain data and the target domain data after the alignment.
- Learning means trains the feature extraction means based on the local features of the source domain data and the target domain data after the alignment and a classification result of the class.
Potential Applications
This technology can be applied in various fields such as image recognition, medical diagnosis, and security systems.
Problems Solved
This technology helps in aligning and classifying data from different domains, which can improve accuracy and efficiency in various applications.
Benefits
The system can enhance data analysis, pattern recognition, and decision-making processes by effectively aligning and classifying data from different domains.
Potential Commercial Applications
Potential commercial applications include image recognition software, medical diagnostic tools, and security systems for identifying objects or individuals.
Possible Prior Art
Prior art may include similar systems or methods used in image processing, machine learning, or data classification technologies.
Unanswered Questions
How does the system handle large volumes of data?
The patent application does not specify how the system manages and processes large amounts of data efficiently.
What is the computational complexity of the alignment and classification processes?
The patent application does not provide information on the computational resources required for the alignment and classification tasks.
Original Abstract Submitted
a data acquisition means acquires source domain data and target domain data. an alignment means performs an alignment which converts the source domain data and the target domain data into images of a predetermined reference angle. a feature extraction means extracts local features of the source domain data and the target domain data. a classification means classifies a class based on the local features of the source domain data and the target domain data after the alignment. a learning means trains the feature extraction means based on the local features of the source domain data and the target domain data after the alignment and a classification result of the class.
