{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2013:7GKGLSKV56FXP44XBM4DFEWBUE","short_pith_number":"pith:7GKGLSKV","schema_version":"1.0","canonical_sha256":"f99465c955ef8b77f3970b383292c1a1369af4bfe999eb96ab552b5950d9c942","source":{"kind":"arxiv","id":"1302.5186","version":2},"attestation_state":"computed","paper":{"title":"Unsupervised edge map scoring: a statistical complexity approach","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["stat.AP"],"primary_cat":"cs.CV","authors_text":"Ana Georgina Flesia, Javier Gimenez, Jorge Martinez","submitted_at":"2013-02-21T05:56:41Z","abstract_excerpt":"We propose a new Statistical Complexity Measure (SCM) to qualify edge maps without Ground Truth (GT) knowledge. The measure is the product of two indices, an \\emph{Equilibrium} index $\\mathcal{E}$ obtained by projecting the edge map into a family of edge patterns, and an \\emph{Entropy} index $\\mathcal{H}$, defined as a function of the Kolmogorov Smirnov (KS) statistic.\n  This new measure can be used for performance characterization which includes: (i)~the specific evaluation of an algorithm (intra-technique process) in order to identify its best parameters, and (ii)~the comparison of different"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"1302.5186","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2013-02-21T05:56:41Z","cross_cats_sorted":["stat.AP"],"title_canon_sha256":"7695b9349a65b9b1eac1c265e5693db02892c04640f562a3793bd5d5cbf09344","abstract_canon_sha256":"5ef44e3bbc0a61b97ed61f1237ee8688fda41552f323ae85715ee0d2ed8a9878"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T02:59:44.712229Z","signature_b64":"fSheh967/R9R0iAO507CArCzI8diMNY3F1preMEpiAX/hjG8PrnVvJlVzN8RhfrDO6I/TVZ7MEXM4tOBPsY8Bw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"f99465c955ef8b77f3970b383292c1a1369af4bfe999eb96ab552b5950d9c942","last_reissued_at":"2026-05-18T02:59:44.711358Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T02:59:44.711358Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Unsupervised edge map scoring: a statistical complexity approach","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["stat.AP"],"primary_cat":"cs.CV","authors_text":"Ana Georgina Flesia, Javier Gimenez, Jorge Martinez","submitted_at":"2013-02-21T05:56:41Z","abstract_excerpt":"We propose a new Statistical Complexity Measure (SCM) to qualify edge maps without Ground Truth (GT) knowledge. The measure is the product of two indices, an \\emph{Equilibrium} index $\\mathcal{E}$ obtained by projecting the edge map into a family of edge patterns, and an \\emph{Entropy} index $\\mathcal{H}$, defined as a function of the Kolmogorov Smirnov (KS) statistic.\n  This new measure can be used for performance characterization which includes: (i)~the specific evaluation of an algorithm (intra-technique process) in order to identify its best parameters, and (ii)~the comparison of different"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1302.5186","kind":"arxiv","version":2},"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"},"aliases":[{"alias_kind":"arxiv","alias_value":"1302.5186","created_at":"2026-05-18T02:59:44.711506+00:00"},{"alias_kind":"arxiv_version","alias_value":"1302.5186v2","created_at":"2026-05-18T02:59:44.711506+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1302.5186","created_at":"2026-05-18T02:59:44.711506+00:00"},{"alias_kind":"pith_short_12","alias_value":"7GKGLSKV56FX","created_at":"2026-05-18T12:27:36.564083+00:00"},{"alias_kind":"pith_short_16","alias_value":"7GKGLSKV56FXP44X","created_at":"2026-05-18T12:27:36.564083+00:00"},{"alias_kind":"pith_short_8","alias_value":"7GKGLSKV","created_at":"2026-05-18T12:27:36.564083+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/7GKGLSKV56FXP44XBM4DFEWBUE","json":"https://pith.science/pith/7GKGLSKV56FXP44XBM4DFEWBUE.json","graph_json":"https://pith.science/api/pith-number/7GKGLSKV56FXP44XBM4DFEWBUE/graph.json","events_json":"https://pith.science/api/pith-number/7GKGLSKV56FXP44XBM4DFEWBUE/events.json","paper":"https://pith.science/paper/7GKGLSKV"},"agent_actions":{"view_html":"https://pith.science/pith/7GKGLSKV56FXP44XBM4DFEWBUE","download_json":"https://pith.science/pith/7GKGLSKV56FXP44XBM4DFEWBUE.json","view_paper":"https://pith.science/paper/7GKGLSKV","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1302.5186&json=true","fetch_graph":"https://pith.science/api/pith-number/7GKGLSKV56FXP44XBM4DFEWBUE/graph.json","fetch_events":"https://pith.science/api/pith-number/7GKGLSKV56FXP44XBM4DFEWBUE/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/7GKGLSKV56FXP44XBM4DFEWBUE/action/timestamp_anchor","attest_storage":"https://pith.science/pith/7GKGLSKV56FXP44XBM4DFEWBUE/action/storage_attestation","attest_author":"https://pith.science/pith/7GKGLSKV56FXP44XBM4DFEWBUE/action/author_attestation","sign_citation":"https://pith.science/pith/7GKGLSKV56FXP44XBM4DFEWBUE/action/citation_signature","submit_replication":"https://pith.science/pith/7GKGLSKV56FXP44XBM4DFEWBUE/action/replication_record"}},"created_at":"2026-05-18T02:59:44.711506+00:00","updated_at":"2026-05-18T02:59:44.711506+00:00"}