{"id":"W2143812340","doi":"10.1109/cccrv.2004.1301422","title":"Simultaneous segmentation of range and color images based on Bayesian decision theory","year":2004,"lang":"en","type":"article","venue":"","topic":"Advanced Vision and Imaging","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Classification of discontinuities; Parametric statistics; Artificial intelligence; Range (aeronautics); Bayesian probability; Segmentation; Computer science; Image segmentation; Algorithm; Parametric model; Limit (mathematics); Pattern recognition (psychology); Partition (number theory); Computer vision; Mathematics; Statistics","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":[0.0001447461,0.00006532623,0.00007707821,0.00007459991,0.00005201507,0.00003369652,0.0001383705,0.00001547791,0.00002138069],"category_scores_gemma":[0.0001064177,0.00004969538,0.00001910693,0.000121757,0.00003423509,0.0002241411,0.00004046315,0.00003536194,0.000007099993],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000202479,"about_ca_system_score_gemma":0.00001809322,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003803647,"about_ca_topic_score_gemma":0.000001307348,"domain_scores_codex":[0.9994403,0.00002592057,0.0001149217,0.0001783432,0.0001539741,0.00008650753],"domain_scores_gemma":[0.9992447,0.000453459,0.00004174643,0.0001785444,0.00003891479,0.00004265384],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00008830756,0.00009275726,0.0001097026,0.00000918253,0.000002310577,0.00002137181,0.0002458558,0.02850282,0.01214743,0.01790518,0.00003237403,0.9408427],"study_design_scores_gemma":[0.001947609,0.0003162798,0.0007421299,0.00007436311,0.000003290217,0.000006590379,0.0001076905,0.8843615,0.08025411,0.03194601,0.00009934432,0.0001410956],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.008021622,0.0000304622,0.9901212,0.0003256144,0.00004980026,0.0001023066,9.065372e-7,0.00005225859,0.001295858],"genre_scores_gemma":[0.6220918,0.000005572498,0.3772489,0.000604286,0.000003509803,0.000001228323,3.504732e-7,0.000002547079,0.00004181805],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9407016,"threshold_uncertainty_score":0.2026519,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00590735897034707,"score_gpt":0.2704431987013455,"score_spread":0.2645358397309985,"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."}}