{"paper":{"title":"A Replica Inference Approach to Unsupervised Multi-Scale Image Segmentation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CV","physics.soc-ph"],"primary_cat":"cond-mat.stat-mech","authors_text":"Dandan Hu, Peter Ronhovde, Zohar Nussinov","submitted_at":"2011-06-28T20:01:40Z","abstract_excerpt":"We apply a replica inference based Potts model method to unsupervised image segmentation on multiple scales. This approach was inspired by the statistical mechanics problem of \"community detection\" and its phase diagram. Specifically, the problem is cast as identifying tightly bound clusters (\"communities\" or \"solutes\") against a background or \"solvent\". Within our multiresolution approach, we compute information theory based correlations among multiple solutions (\"replicas\") of the same graph over a range of resolutions. Significant multiresolution structures are identified by replica correla"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1106.5793","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"}