{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2011:XKLZXS577JDQXPJAFPGA7QH4SB","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":"740c2a52d03b81cda95a69ef6e9cfc0c955b158291445ee591e7d6ad62b0acef","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2011-01-15T13:29:12Z","title_canon_sha256":"0dcc31c9392931d68ea7d46e95c561df1e289e471e0d03268b9fd23ba07c4592"},"schema_version":"1.0","source":{"id":"1101.2987","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1101.2987","created_at":"2026-05-18T04:31:30Z"},{"alias_kind":"arxiv_version","alias_value":"1101.2987v1","created_at":"2026-05-18T04:31:30Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1101.2987","created_at":"2026-05-18T04:31:30Z"},{"alias_kind":"pith_short_12","alias_value":"XKLZXS577JDQ","created_at":"2026-05-18T12:26:47Z"},{"alias_kind":"pith_short_16","alias_value":"XKLZXS577JDQXPJA","created_at":"2026-05-18T12:26:47Z"},{"alias_kind":"pith_short_8","alias_value":"XKLZXS57","created_at":"2026-05-18T12:26:47Z"}],"graph_snapshots":[{"event_id":"sha256:f362f17a3d1dcb53f134bf51587818fb71e9f644e7dfbd45a1f288a330ae9645","target":"graph","created_at":"2026-05-18T04:31:30Z","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":"Kernel-based machine learning algorithms are based on mapping data from the original input feature space to a kernel feature space of higher dimensionality to solve a linear problem in that space. Over the last decade, kernel based classification and regression approaches such as support vector machines have widely been used in remote sensing as well as in various civil engineering applications. In spite of their better performance with different datasets, support vector machines still suffer from shortcomings such as visualization/interpretation of model, choice of kernel and kernel specific ","authors_text":"Mahesh Pal","cross_cats":["cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2011-01-15T13:29:12Z","title":"Support vector machines/relevance vector machine for remote sensing classification: A review"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1101.2987","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":"sha256:77351401ea63d8a1254d3c48d0bdc411b6825bd749c861032910111735437169","target":"record","created_at":"2026-05-18T04:31:30Z","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":"740c2a52d03b81cda95a69ef6e9cfc0c955b158291445ee591e7d6ad62b0acef","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2011-01-15T13:29:12Z","title_canon_sha256":"0dcc31c9392931d68ea7d46e95c561df1e289e471e0d03268b9fd23ba07c4592"},"schema_version":"1.0","source":{"id":"1101.2987","kind":"arxiv","version":1}},"canonical_sha256":"ba979bcbbffa470bbd202bcc0fc0fc906c18393045516af289c4eb0a1f07bd79","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"ba979bcbbffa470bbd202bcc0fc0fc906c18393045516af289c4eb0a1f07bd79","first_computed_at":"2026-05-18T04:31:30.621952Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T04:31:30.621952Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"1MQFuDfLeUp8rSi5vbreSElTlAUGokzj0ni9rhyUxBESvelo9OsPL1g68ZCgeyNsUX/VNkdjIX+WqWECG+qLAw==","signature_status":"signed_v1","signed_at":"2026-05-18T04:31:30.622695Z","signed_message":"canonical_sha256_bytes"},"source_id":"1101.2987","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:77351401ea63d8a1254d3c48d0bdc411b6825bd749c861032910111735437169","sha256:f362f17a3d1dcb53f134bf51587818fb71e9f644e7dfbd45a1f288a330ae9645"],"state_sha256":"91b2e60bf94f053e2821fecd4dd3c0cd9ebef3707d6c30189663d188bd3325d6"}