{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004416218,0.00005344234,0.00007340725,0.00004419476,0.00005008991,0.00002801977,0.0001118166,0.00003669738,0.0002500913],"category_scores_gemma":[0.0001037843,0.00004835705,0.00004722198,0.0001646825,0.00000810761,0.0003349211,0.00002576927,0.00002727957,0.0000454022],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001935978,"about_ca_system_score_gemma":0.0001377539,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002024856,"about_ca_topic_score_gemma":0.000002032255,"domain_scores_codex":[0.9991971,0.00006492171,0.000147038,0.0001836317,0.0003066379,0.0001006966],"domain_scores_gemma":[0.9989399,0.00007082613,0.00006344707,0.0001891414,0.0007093442,0.00002735007],"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":[0.0000211234,0.0001362315,0.0001916487,0.00006164927,0.00001012322,4.554139e-7,0.0001413463,0.001242789,0.06728262,0.0003613056,0.002808094,0.9277426],"study_design_scores_gemma":[0.0005239671,0.00003713317,0.0005070599,0.0000322954,0.000009417008,0.00000101245,0.00002850973,0.5509813,0.4467657,0.0007565731,0.0003085402,0.00004847752],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4207918,0.0000296666,0.5752424,0.000554611,0.0002103054,0.0002342403,0.000006989021,0.00004501537,0.002884953],"genre_scores_gemma":[0.9124103,0.000009804194,0.087007,0.0002584335,0.00002055329,0.00006792576,0.00007309707,0.000003180524,0.0001496621],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9276941,"threshold_uncertainty_score":0.2738324,"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."}}