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  4. CAE
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  6. Multidimensional data visualization/learning and recognition

Multidimensional data visualization/learning and recognition

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last updated:Aug 23, 2011

横浜総合研究所
横浜総合研究所
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It provides a function to visually evaluate the parameters that make up the feature vector.

This technology provides a function to visually evaluate the parameters that constitute the feature vector by expressing the differences in distribution between the neighborhoods of points using a so-called shape transformation mapping from points in N-dimensional space to 3-dimensional space.

    Other FA equipmentOther analyses
da3d.jpg

Multidimensional data visualization/learning and recognition

da3d.jpg
da3d.jpg
  • Related Link - http://www.yri.co.jp/da.html

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basic information

【Usage】 When systematizing themes that require advanced judgment and processing based on experience due to a wide variety of ambiguous and vast information or data, and where algorithmization is difficult, please consider applying this technology (product name 'Dimension Agent'). The multi-dimensional data structured through learning can be visualized without becoming a black box like neural networks, and we aim to be of service to everyone as a practical technology equipped with an excellent human interface. *For further details, please contact us.*

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Applications/Examples of results

■ Control: Fuzzy control, automatic control, autonomous control, simulation, automobiles, ships, flying objects, robots, games ■ Diagnosis: Fault diagnosis, waveform diagnosis, image diagnosis, medical diagnosis, seabed monitoring, coastal monitoring, underwater monitoring, ocean monitoring, aerial monitoring, traffic monitoring, hazard avoidance, hazard prediction ■ Inspection: Printed materials, color unevenness, streak unevenness, brightness unevenness inspection, automation of visual inspection, automatic defect classification (ADC) ■ Maintenance: Preventive maintenance, predictive maintenance ■ Authentication: Biometric authentication (biometrics: face, fingerprint, palm print, retina, vein, etc.) ■ Recognition: Image recognition, voice recognition, recognition of handwritten characters and figures (pattern recognition) ■ Search: Similarity search (fuzzy search), image search, video search, audio information search (music, songs, etc.), text information search, large database search ■ Prediction: Course, trajectory, finance, stock prices, weather, various indicators and indices ■ Defense: Tracking, target acquisition, signal analysis ■ Review: Qualification review, credit review, pass/fail determination ■ Others: Data analysis, multidimensional data and multivariate data visualization, data mining, decision making, scheduling

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横浜総合研究所

横浜総合研究所

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We are engaged in image recognition systems and robot control that incorporate our unique learning/recognition algorithms based on insights from artificial intelligence (AI), neuroscience, and the latest image processing technologies. We provide various technologies that easily capture (learn) a wide variety of rapidly changing subjects, reliably match and identify (recognize) them, and visually represent the results. We aim to be of assistance to those involved in the development of video processing devices, surveillance systems, medical imaging equipment, semiconductor manufacturing equipment, and robots.

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