Self-Aligning and Compressed Autosophy Video Databases
نویسنده
چکیده
Autosophy, an emerging new science, explains "Self-assembling Structures", such crystals or living trees, in mathematical terms. This research provides a new mathematical theory of "Learning" and a new "Information Theory" which permits the growing of self-assembling data network in a computer memory similar to the growing of uData Crystals" or "Data Trees" without data processing or programming. Autosophy databases are educated very much like a human child to organize their own internal data storage. Input patterns, such as written questions or images, are converted to points in a mathematical omni dimensional hyperspace. The input patterns are then associated with output patterns, such as written answers or images. Omni dimensional information storage will result in enormous data compression because each pattern fragment is only stored once. Pattern recognition in the text or image files is greatly simplified by the peculiar omni dimensional storage method. Video databases wilt absorb input images from a TV camera and associate them with textual information. The "Black Box" operations are totally self-aligning where the input data will determine their own hyperspace storage locations. Self-aligning autosophy databases may lead to a new generation of brain-like devices.
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تاریخ انتشار 1993