{"id":"W3120590167","doi":"10.18280/ts.370606","title":"A Face Detection Method Based on Skin Color Model and Improved AdaBoost Algorithm","year":2020,"lang":"en","type":"article","venue":"Traitement du signal","topic":"Face recognition and analysis","field":"Computer Science","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Suzhou University","keywords":"Artificial intelligence; AdaBoost; Face detection; Pattern recognition (psychology); Computer science; Particle swarm optimization; Color space; Brightness; Facial recognition system; Face (sociological concept); Computer vision; Classifier (UML); Mathematics; Algorithm; Image (mathematics)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008864968,0.0009408412,0.001207903,0.001637973,0.0005781628,0.0006963979,0.001358416,0.001053912,0.001290349],"category_scores_gemma":[0.001105968,0.0005721751,0.001063035,0.0007760566,0.0004841882,0.001391595,0.0005219317,0.001029246,0.0005291896],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007110921,"about_ca_system_score_gemma":0.0008948718,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005359601,"about_ca_topic_score_gemma":0.003593416,"domain_scores_codex":[0.9990485,0.0001418605,0.00003735764,0.0002506651,0.000431551,0.00008997675],"domain_scores_gemma":[0.9994649,0.000107138,0.00004089362,0.00004050166,0.0003157483,0.00003084415],"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":[0.000337803,0.0002722282,0.002215613,0.0002348728,0.0002049531,0.0001556223,0.0001236793,0.1360338,0.07650036,0.004539759,0.003158631,0.7762226],"study_design_scores_gemma":[0.00001727879,0.00007895684,0.000936318,0.000008621555,0.00003422888,0.0001878958,0.00001673488,0.9808316,0.01543405,0.0008874719,0.001538498,0.00002848845],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01001219,0.0002241639,0.9879451,0.00004855955,0.00008842209,0.00005045178,0.00001456282,0.0007942529,0.0008222866],"genre_scores_gemma":[0.3332624,0.0005153182,0.6599352,0.0001854749,0.0001169844,0.0001914093,0.0001066101,0.0001817363,0.005504793],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005359601,"threshold_uncertainty_score":0.01065677,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01928909288407091,"score_gpt":0.2428570898528312,"score_spread":0.2235679969687603,"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."}}