The paper asserts that correlation scaling exponents in arbitrary, scale-invariant lattice probability distributions always match equilibrium statistical mechanics universality classes, but the proof is too flawed to support the claim.
Thermodynamics of natural images
1 Pith paper cite this work. Polarity classification is still indexing.
abstract
The scale invariance of natural images suggests an analogy to the statistical mechanics of physical systems at a critical point. Here we examine the distribution of pixels in small image patches and show how to construct the corresponding thermodynamics. We find evidence for criticality in a diverging specific heat, which corresponds to large fluctuations in how "surprising" we find individual images, and in the quantitative form of the entropy vs. energy. The energy landscape derived from our thermodynamic framework identifies special image configurations that have intrinsic error correcting properties, and neurons which could detect these features have a strong resemblance to the cells found in primary visual cortex.
fields
cond-mat.stat-mech 1years
2019 1verdicts
REJECT 1representative citing papers
citing papers explorer
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Universality of scaling of correlations across probability distributions
The paper asserts that correlation scaling exponents in arbitrary, scale-invariant lattice probability distributions always match equilibrium statistical mechanics universality classes, but the proof is too flawed to support the claim.