{"id":"W2028166157","doi":"10.5539/mas.v3n11p64","title":"Modular PCA Face Recognition Based on Weighted Average","year":2009,"lang":"en","type":"article","venue":"Modern Applied Science","topic":"Face and Expression Recognition","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Modular design; Pattern recognition (psychology); Computer science; Principal component analysis; Artificial intelligence; Classifier (UML); Facial recognition system; Block (permutation group theory); Matrix (chemical analysis); Training set; Mathematics; Combinatorics","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":[0.0009497047,0.001074418,0.001122288,0.001774071,0.0004070848,0.0008545597,0.00111111,0.0004114896,0.002459954],"category_scores_gemma":[0.002374308,0.000363669,0.001179326,0.001924131,0.0004936916,0.001792709,0.0009749115,0.0007705785,0.001168042],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003668109,"about_ca_system_score_gemma":0.0005396596,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002065918,"about_ca_topic_score_gemma":0.001808947,"domain_scores_codex":[0.9983661,0.0002666171,0.00005224115,0.000357105,0.0008378913,0.0001200718],"domain_scores_gemma":[0.9991549,0.0002000724,0.0000659521,0.0001441666,0.0003997795,0.00003511011],"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":[0.0001666257,0.00006258739,0.0009155181,0.000110748,0.0001427361,0.00005778917,0.0000840361,0.04402066,0.04950899,0.01036846,0.003017026,0.8915449],"study_design_scores_gemma":[0.00001709006,0.0001331578,0.002666558,0.0000112674,0.00008204841,0.0002928785,0.00002683093,0.9545745,0.02995844,0.006404872,0.005767894,0.00006446118],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.008191865,0.0001473933,0.9900562,0.0000287775,0.00004489801,0.00002893657,0.00003265471,0.0005654494,0.0009038489],"genre_scores_gemma":[0.261794,0.0007371016,0.7319046,0.00008844278,0.000218637,0.0001455388,0.0004139942,0.0002690184,0.004428679],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002459954,"threshold_uncertainty_score":0.008229315,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0172442601981617,"score_gpt":0.228587088652978,"score_spread":0.2113428284548163,"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."}}