{"id":"W2147471231","doi":"10.1109/iscas.2013.6572174","title":"Application of neural networks with CSD coefficients for human face recognition","year":2013,"lang":"en","type":"article","venue":"","topic":"Face and Expression Recognition","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Artificial neural network; Computer science; Facial recognition system; Classifier (UML); Artificial intelligence; Time delay neural network; Pattern recognition (psychology); Field-programmable gate array; Speech recognition; Computer hardware","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":[0.0002873739,0.000237474,0.0001850926,0.0004465997,0.0001499858,0.0002841005,0.0002462134,0.0002876766,0.001440023],"category_scores_gemma":[0.0008089715,0.0001307693,0.0001621486,0.0004805999,0.000170915,0.000360367,0.0002457,0.0003513669,0.0003057921],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002802521,"about_ca_system_score_gemma":0.0002755514,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002109973,"about_ca_topic_score_gemma":0.002664516,"domain_scores_codex":[0.9998212,0.00003221083,0.000009471655,0.00002583291,0.00009981871,0.00001152828],"domain_scores_gemma":[0.9998202,0.00006397902,0.00001323674,0.00002043781,0.0000759866,0.000006176963],"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":[0.0002198943,0.00006880512,0.001974259,0.0001620728,0.00004924272,0.0001480361,0.00004649198,0.07077028,0.1367977,0.006778492,0.002950111,0.7800347],"study_design_scores_gemma":[0.00001315263,0.00008119495,0.002220359,0.00001773734,0.00002351382,0.0002379852,0.00001878824,0.9232123,0.06595397,0.002080411,0.006118513,0.00002207955],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08495365,0.00259328,0.9014735,0.0004239964,0.0002723832,0.00008186447,0.0001116144,0.0008541394,0.009235564],"genre_scores_gemma":[0.7235485,0.001823374,0.2692562,0.0001252018,0.0000930727,0.00006328469,0.0001529151,0.00003902975,0.004898547],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002109973,"threshold_uncertainty_score":0.004817367,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01824081677272128,"score_gpt":0.2459034365376043,"score_spread":0.2276626197648831,"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."}}