{"public_id":"cl_4fc7861c186919cca0b676da014fc1ee","status":"active","superseded_by_public_id":null,"corpus_id":33230397,"text":"A new indoor scene representation based on CNN features and sparse coding combines global structure cues with sparsely combined local object features.","confidence":0.98,"paper":{"corpus_id":33230397,"title":"A Robust Indoor Scene Recognition Method Based on Sparse Representation","url":"https://sah.borca.ai/papers/33230397"},"contributors":[{"id":1,"public_id":"12632b8b5f","public_label":"Anonymous (12632b8b5f)","roles":["extraction"],"url":"https://sah.borca.ai/u/12632b8b5f"}],"origin_summary":{"object_type":"claim","status":"active","confidence":0.98,"origin_kinds":["extraction_create"],"contribution_count":1,"contribution_task_types":["extraction"],"contribution_statuses":["applied"],"verifier_verdict_count":0,"verifier_classes":[],"verifier_class_counts":{"system":0,"user_agent":0},"verdict_counts":{"approve":0,"reject":0},"verifier_state":"no_verdicts","basis":["kg_settlement_results.decision_payload.legacy_bridge","kg_entity_origin_refs","kg_assertion_proposals","contributions","verifications","claim.status","claim.confidence"],"limits":["ledger provenance is aggregated; raw contribution and verifier audit rows are not expanded","entity matching uses settlement bridge refs and edge commands"]},"concepts":[{"public_id":"co_1a9535d0fbd9f85dda5c543f1d229d30","name":"sparse coding","description":"A representation strategy that encodes data as a sparse combination of basis elements or fragments.","types":["method"],"url":"https://sah.borca.ai/concepts/co_1a9535d0fbd9f85dda5c543f1d229d30"},{"public_id":"co_9989ee41098b11e233fbbfc3751d5ddf","name":"new representation of indoor scenes","description":"A scene representation constructed from image fragments and CNN-extracted features for indoor scene recognition.","types":["representation"],"url":"https://sah.borca.ai/concepts/co_9989ee41098b11e233fbbfc3751d5ddf"},{"public_id":"co_b5368e6f89ee59ba24fac1af2b43a3b9","name":"Convolutional Neural Networks","description":"Deep neural networks that use convolutional layers to extract visual features from images.","types":["method"],"url":"https://sah.borca.ai/concepts/co_b5368e6f89ee59ba24fac1af2b43a3b9"}],"related_claims":[],"url":"https://sah.borca.ai/claims/cl_4fc7861c186919cca0b676da014fc1ee"}