{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:U5PETYCOFOGAQ5D3B5WM7BXWIG","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"bfbee9769d75125d0609bc9dbed15698f80037b4c14dcd21ede1d59d3af0348d","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-11-19T13:39:49Z","title_canon_sha256":"6fe2dd58b9a2cac0d8041fde464f1485e4c75da5653573f9450f529601f3d3c1"},"schema_version":"1.0","source":{"id":"1712.01645","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1712.01645","created_at":"2026-05-18T00:28:48Z"},{"alias_kind":"arxiv_version","alias_value":"1712.01645v1","created_at":"2026-05-18T00:28:48Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1712.01645","created_at":"2026-05-18T00:28:48Z"},{"alias_kind":"pith_short_12","alias_value":"U5PETYCOFOGA","created_at":"2026-05-18T12:31:46Z"},{"alias_kind":"pith_short_16","alias_value":"U5PETYCOFOGAQ5D3","created_at":"2026-05-18T12:31:46Z"},{"alias_kind":"pith_short_8","alias_value":"U5PETYCO","created_at":"2026-05-18T12:31:46Z"}],"graph_snapshots":[{"event_id":"sha256:9990d4af73a73c0f045f3205d3d50e02339092d1a07399d6979f29570d85406d","target":"graph","created_at":"2026-05-18T00:28:48Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"paper":{"abstract_excerpt":"To better select the correct training sample and obtain the robust representation of the query sample, this paper proposes a discriminant-based sparse optimization learning model. This learning model integrates discriminant and sparsity together. Based on this model, we then propose a classifier called locality-based discriminant sparse representation (LDSR). Because discriminant can help to increase the difference of samples in different classes and to decrease the difference of samples within the same class, LDSR can obtain better sparse coefficients and constitute a better sparse representa","authors_text":"Qingxiang Feng, Yicong Zhou","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-11-19T13:39:49Z","title":"Vision Recognition using Discriminant Sparse Optimization Learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1712.01645","kind":"arxiv","version":1},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:72a742d0a8dd5f9faf5e04c7bdd5d73d102d94010c402f82097e5599d45e071e","target":"record","created_at":"2026-05-18T00:28:48Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"bfbee9769d75125d0609bc9dbed15698f80037b4c14dcd21ede1d59d3af0348d","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-11-19T13:39:49Z","title_canon_sha256":"6fe2dd58b9a2cac0d8041fde464f1485e4c75da5653573f9450f529601f3d3c1"},"schema_version":"1.0","source":{"id":"1712.01645","kind":"arxiv","version":1}},"canonical_sha256":"a75e49e04e2b8c08747b0f6ccf86f64186d0cba7c64f3bb3e7e5bf9918d984da","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"a75e49e04e2b8c08747b0f6ccf86f64186d0cba7c64f3bb3e7e5bf9918d984da","first_computed_at":"2026-05-18T00:28:48.039674Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:28:48.039674Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"6A7NrkLCAvzThtvneORhdWrbjIpFAWk5waYhH1PPxRIsvGJkkRhP5vGkHHKDlCVEbJh3nxbRkg0L2MusuPiEDQ==","signature_status":"signed_v1","signed_at":"2026-05-18T00:28:48.040228Z","signed_message":"canonical_sha256_bytes"},"source_id":"1712.01645","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:72a742d0a8dd5f9faf5e04c7bdd5d73d102d94010c402f82097e5599d45e071e","sha256:9990d4af73a73c0f045f3205d3d50e02339092d1a07399d6979f29570d85406d"],"state_sha256":"3f47a704c8c1b0f9f3953b4e972329587f5ab4e7849d3e3ee45c6612a78e9cdd"}