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It is shown that the least uniform reconstruction-derivative error is 1-M(M-m)/2,0,0, with affine maps attaining this sharp bound at every prescribed depth, with affine maps attaining this sharp bound at every prescribed depth.
Hidden-state representations in DSAE for LiDAR classification collapse at depth 5, revealing a fundamental flaw in deep architectures for this task.