{"id":"W3199268160","doi":"10.1109/mwscas47672.2021.9531690","title":"Performance Evaluation of Entropy Based LBP for Face Recognition","year":2021,"lang":"en","type":"article","venue":"","topic":"Face and Expression Recognition","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Local binary patterns; Histogram; Pattern recognition (psychology); Artificial intelligence; Facial recognition system; Computer science; Entropy (arrow of time); Classifier (UML); Binary number; Mathematics; Image (mathematics)","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":[0.001031874,0.0003654902,0.0004620954,0.001012827,0.0002247802,0.0003953499,0.0004214511,0.0004082925,0.001723265],"category_scores_gemma":[0.002415634,0.00009571938,0.0002467866,0.0005030545,0.0001908587,0.0004196181,0.0003475666,0.000192835,0.0005557516],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002898189,"about_ca_system_score_gemma":0.0002196055,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001697496,"about_ca_topic_score_gemma":0.0008988561,"domain_scores_codex":[0.9991378,0.0001736215,0.00004290861,0.0001050113,0.0004538956,0.00008674583],"domain_scores_gemma":[0.9991614,0.0003229515,0.00005071389,0.00006745734,0.0003581045,0.00003932201],"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":[0.003175289,0.0004002918,0.009991286,0.0003607901,0.0001301986,0.0002469704,0.0001278188,0.04930432,0.1914774,0.001099015,0.002850137,0.7408365],"study_design_scores_gemma":[0.00004585975,0.001528154,0.02493615,0.00002892277,0.0000871692,0.0006745502,0.00009991025,0.8509718,0.119351,0.0005099486,0.001716626,0.00005000934],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.7528322,0.00425323,0.2313391,0.0003157608,0.0002813824,0.0001164136,0.0003498563,0.002161104,0.008350994],"genre_scores_gemma":[0.9627444,0.0005942848,0.03421197,0.00004060947,0.00004769899,0.00003790559,0.0003667369,0.00004573669,0.001910663],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.001723265,"threshold_uncertainty_score":0.005764902,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06940697869200414,"score_gpt":0.2951276382788792,"score_spread":0.2257206595868751,"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."}}