{"id":"W2147876959","doi":"10.1109/cgiv.2007.6","title":"A Human Face Recognition System Using Neural Classifiers","year":2007,"lang":"en","type":"article","venue":"","topic":"Face and Expression Recognition","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Eigenface; Facial recognition system; Artificial intelligence; Computer science; Pattern recognition (psychology); Subspace topology; Three-dimensional face recognition; Classifier (UML); Face (sociological concept); Preprocessor; Face detection; Speech recognition","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006208583,0.0004037307,0.0005986417,0.0005629255,0.000505893,0.0005904605,0.0008822654,0.001056794,0.005795],"category_scores_gemma":[0.0009809887,0.0002163876,0.0003203484,0.0004842223,0.0003333169,0.0009612569,0.0004173466,0.0005008837,0.003161439],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004345741,"about_ca_system_score_gemma":0.0005672578,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00208804,"about_ca_topic_score_gemma":0.00233602,"domain_scores_codex":[0.999574,0.00004384127,0.00001385634,0.0001303914,0.0002055872,0.00003244764],"domain_scores_gemma":[0.9996855,0.0000588773,0.00002045167,0.00004567997,0.0001686915,0.00002063404],"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":[0.0003704048,0.0003413457,0.001507937,0.0001889695,0.0001058808,0.0001471373,0.00006537092,0.0126606,0.1845748,0.005320471,0.00989625,0.7848209],"study_design_scores_gemma":[0.00007974925,0.0009005524,0.005029826,0.00006530302,0.0001686271,0.0009954013,0.00006570752,0.7642835,0.1893242,0.006456066,0.03251089,0.0001200972],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03354846,0.0005426672,0.9491786,0.0003240734,0.0002617156,0.000274373,0.0001953708,0.005389044,0.01028559],"genre_scores_gemma":[0.3869437,0.0006887182,0.5885526,0.0007416679,0.0002099841,0.0004688679,0.0003957692,0.00008190505,0.0219168],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005795,"threshold_uncertainty_score":0.01938623,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07259836631807912,"score_gpt":0.2955562780452547,"score_spread":0.2229579117271756,"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."}}