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This is an interesting thought. Trying to imagine how you represent that as a vector. You still need to map percels to a latent space. But perhaps with some nu
by causal 1y ago
This is an interesting thought. Trying to imagine how you represent that as a vector.
You still need to map percels to a latent space. But perhaps with some number of dimensions devoted to modes of perception? E.g. audio, visual, etc
- milanove 1y agoI'm not an ML expert or practitioner, so someone might need to correct me. However, I believe the parcel's components together as a whole would capture the state of the audio+visual+time. However, I don't think the state of one particular mode (e.g. audio or visual or time) is encoded with a specific subset of the percel's components. Rather, each component of the percel itself would represent a mixture (or a portion of a mixture) of the audio+video+time. So, you couldn't isolate out just the audio or visual or time state specifically by looking at some specific subset of the percel's components, because each component is itself a mixture of the audio+visual+time state. I think the classic analogy is that if river 1 and river 2 combine to form river 3, you cannot take a cup of water from river 3 and separate out the portions from river 1 and river 2; they're irreversibly mixed.