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Why would you use the term "holographic" instead of "non-sparsely encoded," "robust," "redundant," or any of the other better-understood and seemingly more desc
by bertiewhykovich 10y ago
Why would you use the term "holographic" instead of "non-sparsely encoded," "robust," "redundant," or any of the other better-understood and seemingly more descriptive terms one could use?
- smaddox 10y agoBecause holographic encoding is a particular type of non-sparse encoding and redundancy. "Holographic" really is the most descriptive way I can think to describe it without using many more words. Redundancy can be achieved through multiple independent systems, e.g. repeating the encoded text in multiple locations; such an approach is not holographic, though. Parity is a more holographic encoding scheme in that redundancy comes from the interaction of multiple pieces of encoded text. The term is even more applicable when talking about convolutional neural networks in which every neural node significantly contributes to every encoding. Here the similarity to optical holograms becomes quite apparent.