{"id":"W1997763680","doi":"10.1109/pg.2007.56","title":"Contour Correspondence via Ant Colony Optimization","year":2007,"lang":"en","type":"article","venue":"","topic":"Advanced Image and Video Retrieval Techniques","field":"Computer Science","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Ant colony optimization algorithms; Quadratic assignment problem; Computer science; Matching (statistics); Correspondence problem; Mathematical optimization; Artificial intelligence; Ant colony; Relation (database); Point (geometry); Algorithm; Optimization problem; Pattern recognition (psychology); Mathematics; Data mining","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004250923,0.00008701274,0.00009321115,0.00008693267,0.00007481727,0.00006528085,0.0004648177,0.00004875207,0.00006079616],"category_scores_gemma":[0.00009632645,0.00007504312,0.00002934542,0.0004171178,0.00003206491,0.0007635673,0.0001285046,0.00007738142,0.00004094722],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004332568,"about_ca_system_score_gemma":0.00002732715,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001633514,"about_ca_topic_score_gemma":0.000005853231,"domain_scores_codex":[0.9991478,0.00001821152,0.0001786204,0.0002349312,0.000190687,0.0002297309],"domain_scores_gemma":[0.9992807,0.0001249894,0.0000632778,0.0003179321,0.0001348446,0.00007829225],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001908588,0.0002617288,0.00154334,0.00001948112,0.00002060839,0.0004029665,0.0005503871,0.003065708,0.04697955,0.1245616,0.0135349,0.8088689],"study_design_scores_gemma":[0.0005020121,0.0004905601,0.001852472,0.00002796409,0.000004910257,0.0001047176,0.00003420388,0.3624153,0.598492,0.009542955,0.02601781,0.0005150643],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0002188973,0.00007802679,0.9894862,0.000160284,0.0001542231,0.0001397441,2.5444e-7,0.0005344513,0.009227976],"genre_scores_gemma":[0.2092074,0.00003489565,0.7871365,0.001009776,0.00004202722,0.000003113707,9.971341e-7,0.000006021309,0.002559262],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.8083538,"threshold_uncertainty_score":0.306017,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01168691045765969,"score_gpt":0.2867645724280702,"score_spread":0.2750776619704106,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}