6 ms·
Yes, the important part is that the normalized error does not increase with the dimension of the vector (which does happen when using biased quantizers) It is
by amitport 6mo ago
Yes, the important part is that the normalized error does not increase with the dimension of the vector (which does happen when using biased quantizers)
It is expected that bigger vectors have proportionally bigger error, nothing can be done by the quantizer about that.
- moktonar 6mo agoExcept maybe storing another smaller vector for the difference with the original data an also quantize that maybe recursively