{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2015:V5E32ISA44K6ORGPNTTMUVNA7O","short_pith_number":"pith:V5E32ISA","schema_version":"1.0","canonical_sha256":"af49bd2240e715e744cf6ce6ca55a0fb980e494ef48e6d0173a212d16b077348","source":{"kind":"arxiv","id":"1509.01287","version":1},"attestation_state":"computed","paper":{"title":"Image Classification with Rejection using Contextual Information","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Carlos Castro, Filipe Condessa, Jelena Kova\\v{c}evi\\'c, John Ozolek, Jos\\'e Bioucas-Dias","submitted_at":"2015-09-03T22:04:37Z","abstract_excerpt":"We introduce a new supervised algorithm for image classification with rejection using multiscale contextual information. Rejection is desired in image-classification applications that require a robust classifier but not the classification of the entire image. The proposed algorithm combines local and multiscale contextual information with rejection, improving the classification performance. As a probabilistic model for classification, we adopt a multinomial logistic regression. The concept of rejection with contextual information is implemented by modeling the classification problem as an ener"},"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":"1509.01287","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2015-09-03T22:04:37Z","cross_cats_sorted":[],"title_canon_sha256":"0c5a568b4fde6110b1bedddf6ff355ac1a9872bdaaff4df1066c88fe2ef43967","abstract_canon_sha256":"f4337770e3cd0dcfb050b71da0b7b1db5931f2c8a8501e3771ffcb6501d028e7"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T01:33:58.069963Z","signature_b64":"4b/j5vCYwrQCE6q9oZtiS7BBQV52k9S9F+lWsgU9b42Yu0Rtft93IALxiHR89o1TJ6c9ZrRwda00hRLSfztSBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"af49bd2240e715e744cf6ce6ca55a0fb980e494ef48e6d0173a212d16b077348","last_reissued_at":"2026-05-18T01:33:58.069557Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T01:33:58.069557Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Image Classification with Rejection using Contextual Information","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Carlos Castro, Filipe Condessa, Jelena Kova\\v{c}evi\\'c, John Ozolek, Jos\\'e Bioucas-Dias","submitted_at":"2015-09-03T22:04:37Z","abstract_excerpt":"We introduce a new supervised algorithm for image classification with rejection using multiscale contextual information. Rejection is desired in image-classification applications that require a robust classifier but not the classification of the entire image. The proposed algorithm combines local and multiscale contextual information with rejection, improving the classification performance. As a probabilistic model for classification, we adopt a multinomial logistic regression. The concept of rejection with contextual information is implemented by modeling the classification problem as an ener"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1509.01287","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"},"aliases":[{"alias_kind":"arxiv","alias_value":"1509.01287","created_at":"2026-05-18T01:33:58.069614+00:00"},{"alias_kind":"arxiv_version","alias_value":"1509.01287v1","created_at":"2026-05-18T01:33:58.069614+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1509.01287","created_at":"2026-05-18T01:33:58.069614+00:00"},{"alias_kind":"pith_short_12","alias_value":"V5E32ISA44K6","created_at":"2026-05-18T12:29:44.643036+00:00"},{"alias_kind":"pith_short_16","alias_value":"V5E32ISA44K6ORGP","created_at":"2026-05-18T12:29:44.643036+00:00"},{"alias_kind":"pith_short_8","alias_value":"V5E32ISA","created_at":"2026-05-18T12:29:44.643036+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/V5E32ISA44K6ORGPNTTMUVNA7O","json":"https://pith.science/pith/V5E32ISA44K6ORGPNTTMUVNA7O.json","graph_json":"https://pith.science/api/pith-number/V5E32ISA44K6ORGPNTTMUVNA7O/graph.json","events_json":"https://pith.science/api/pith-number/V5E32ISA44K6ORGPNTTMUVNA7O/events.json","paper":"https://pith.science/paper/V5E32ISA"},"agent_actions":{"view_html":"https://pith.science/pith/V5E32ISA44K6ORGPNTTMUVNA7O","download_json":"https://pith.science/pith/V5E32ISA44K6ORGPNTTMUVNA7O.json","view_paper":"https://pith.science/paper/V5E32ISA","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1509.01287&json=true","fetch_graph":"https://pith.science/api/pith-number/V5E32ISA44K6ORGPNTTMUVNA7O/graph.json","fetch_events":"https://pith.science/api/pith-number/V5E32ISA44K6ORGPNTTMUVNA7O/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/V5E32ISA44K6ORGPNTTMUVNA7O/action/timestamp_anchor","attest_storage":"https://pith.science/pith/V5E32ISA44K6ORGPNTTMUVNA7O/action/storage_attestation","attest_author":"https://pith.science/pith/V5E32ISA44K6ORGPNTTMUVNA7O/action/author_attestation","sign_citation":"https://pith.science/pith/V5E32ISA44K6ORGPNTTMUVNA7O/action/citation_signature","submit_replication":"https://pith.science/pith/V5E32ISA44K6ORGPNTTMUVNA7O/action/replication_record"}},"created_at":"2026-05-18T01:33:58.069614+00:00","updated_at":"2026-05-18T01:33:58.069614+00:00"}