18235229. INFORMATION PROCESSING DEVICE, PERSONAL IDENTIFICATION DEVICE, INFORMATION PROCESSING METHOD, AND STORAGE MEDIUM simplified abstract (NEC Corporation)
INFORMATION PROCESSING DEVICE, PERSONAL IDENTIFICATION DEVICE, INFORMATION PROCESSING METHOD, AND STORAGE MEDIUM
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INFORMATION PROCESSING DEVICE, PERSONAL IDENTIFICATION DEVICE, INFORMATION PROCESSING METHOD, AND STORAGE MEDIUM - A simplified explanation of the abstract
This abstract first appeared for US patent application 18235229 titled 'INFORMATION PROCESSING DEVICE, PERSONAL IDENTIFICATION DEVICE, INFORMATION PROCESSING METHOD, AND STORAGE MEDIUM
Simplified Explanation
The patent application describes an information processing device that can classify sequential data into different classes based on indicators calculated for each element of the data. Here are the key points:
- The device acquires a series of elements from sequential data.
- It calculates indicators for each element to determine which class it belongs to, considering the relationship between two or more elements.
- The indicators of all elements are integrated to calculate an overall indicator for the sequential data.
- Based on the integrated indicator, the device classifies the sequential data into one of the available classes.
Potential applications of this technology:
- Natural language processing: Classifying sentences or paragraphs into different categories based on the content.
- Time series analysis: Identifying patterns or trends in sequential data such as stock prices or weather data.
- Speech recognition: Categorizing spoken words or phrases into different classes.
Problems solved by this technology:
- Efficient classification: The device can handle large amounts of sequential data and accurately classify it into appropriate classes.
- Contextual analysis: By considering the relationship between multiple elements, the device can better understand the context and make more accurate classifications.
Benefits of this technology:
- Automation: The device can automatically classify sequential data, reducing the need for manual categorization.
- Accuracy: By considering the relationship between elements, the device can make more precise classifications.
- Scalability: The technology can handle large volumes of data, making it suitable for real-time or big data applications.
Original Abstract Submitted
Provided is an information processing device including: an acquisition unit that sequentially acquires a plurality of elements included in sequential data; a first calculation unit that calculates, for each of the plurality of elements, indicators each indicating which of a plurality of classes is appropriate for corresponding element to belong to, in consideration of two or more elements among the plurality of elements; a second calculation unit that calculates, by integrating the indicators of the plurality of elements, an integrated indicator indicating which of the plurality of classes is appropriate for the sequential data to belong to; and a classification unit that classifies the sequential data into one of the plurality of classes based on the integrated indicator.
