{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2008:FAIDMPNX5AHBV5LOFNQR7DZQDZ","short_pith_number":"pith:FAIDMPNX","schema_version":"1.0","canonical_sha256":"2810363db7e80e1af56e2b611f8f301e6ef369ceb3e4790bb81f0fc58019bc37","source":{"kind":"arxiv","id":"0806.2006","version":2},"attestation_state":"computed","paper":{"title":"Fusion de classifieurs pour la classification d'images sonar","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CV","authors_text":"Arnaud Martin (E3I2)","submitted_at":"2008-06-12T06:42:07Z","abstract_excerpt":"In this paper, we present some high level information fusion approaches for numeric and symbolic data. We study the interest of such method particularly for classifier fusion. A comparative study is made in a context of sea bed characterization from sonar images. The classi- fication of kind of sediment is a difficult problem because of the data complexity. We compare high level information fusion and give the obtained performance."},"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":"0806.2006","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2008-06-12T06:42:07Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"08888974e791199a119574260295144b699cf1e170c6b5a97015c215e57a5cee","abstract_canon_sha256":"14b5db2b7aa5abc5fff42c8513311686fd96006c16e4eb8d82ed663fc7d4996f"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T04:05:05.518949Z","signature_b64":"cjh7hgd6v8qZ3pHgE8yyy/ZPav8OEf3+2ex+amT3nXSHc2xbv3faM/lbj2AtJZ4hsKRTQFGItMLH6C1+mobHBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"2810363db7e80e1af56e2b611f8f301e6ef369ceb3e4790bb81f0fc58019bc37","last_reissued_at":"2026-05-18T04:05:05.518355Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T04:05:05.518355Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Fusion de classifieurs pour la classification d'images sonar","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CV","authors_text":"Arnaud Martin (E3I2)","submitted_at":"2008-06-12T06:42:07Z","abstract_excerpt":"In this paper, we present some high level information fusion approaches for numeric and symbolic data. We study the interest of such method particularly for classifier fusion. A comparative study is made in a context of sea bed characterization from sonar images. The classi- fication of kind of sediment is a difficult problem because of the data complexity. We compare high level information fusion and give the obtained performance."},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"0806.2006","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":"0806.2006","created_at":"2026-05-18T04:05:05.518433+00:00"},{"alias_kind":"arxiv_version","alias_value":"0806.2006v2","created_at":"2026-05-18T04:05:05.518433+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.0806.2006","created_at":"2026-05-18T04:05:05.518433+00:00"},{"alias_kind":"pith_short_12","alias_value":"FAIDMPNX5AHB","created_at":"2026-05-18T12:25:57.157939+00:00"},{"alias_kind":"pith_short_16","alias_value":"FAIDMPNX5AHBV5LO","created_at":"2026-05-18T12:25:57.157939+00:00"},{"alias_kind":"pith_short_8","alias_value":"FAIDMPNX","created_at":"2026-05-18T12:25:57.157939+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/FAIDMPNX5AHBV5LOFNQR7DZQDZ","json":"https://pith.science/pith/FAIDMPNX5AHBV5LOFNQR7DZQDZ.json","graph_json":"https://pith.science/api/pith-number/FAIDMPNX5AHBV5LOFNQR7DZQDZ/graph.json","events_json":"https://pith.science/api/pith-number/FAIDMPNX5AHBV5LOFNQR7DZQDZ/events.json","paper":"https://pith.science/paper/FAIDMPNX"},"agent_actions":{"view_html":"https://pith.science/pith/FAIDMPNX5AHBV5LOFNQR7DZQDZ","download_json":"https://pith.science/pith/FAIDMPNX5AHBV5LOFNQR7DZQDZ.json","view_paper":"https://pith.science/paper/FAIDMPNX","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=0806.2006&json=true","fetch_graph":"https://pith.science/api/pith-number/FAIDMPNX5AHBV5LOFNQR7DZQDZ/graph.json","fetch_events":"https://pith.science/api/pith-number/FAIDMPNX5AHBV5LOFNQR7DZQDZ/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/FAIDMPNX5AHBV5LOFNQR7DZQDZ/action/timestamp_anchor","attest_storage":"https://pith.science/pith/FAIDMPNX5AHBV5LOFNQR7DZQDZ/action/storage_attestation","attest_author":"https://pith.science/pith/FAIDMPNX5AHBV5LOFNQR7DZQDZ/action/author_attestation","sign_citation":"https://pith.science/pith/FAIDMPNX5AHBV5LOFNQR7DZQDZ/action/citation_signature","submit_replication":"https://pith.science/pith/FAIDMPNX5AHBV5LOFNQR7DZQDZ/action/replication_record"}},"created_at":"2026-05-18T04:05:05.518433+00:00","updated_at":"2026-05-18T04:05:05.518433+00:00"}