{"id":"W2461866071","doi":"","title":"4 - Localisation et reconnaissance de visages en temps réels avec un réseau de neurones RBF: algorithme et architecture","year":2003,"lang":"fr","type":"article","venue":"Traitement du signal","topic":"Face and Expression Recognition","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Robustness (evolution); Field-programmable gate array; Artificial intelligence; Computer vision; Image processing; Pattern recognition (psychology); Computer hardware; Image (mathematics)","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":[0.0006076101,0.0005996751,0.0005680854,0.0005044535,0.0002727825,0.000688827,0.0008569632,0.001239249,0.00171597],"category_scores_gemma":[0.00103377,0.0002765766,0.000402416,0.0003256522,0.0003910172,0.000785661,0.0003615117,0.000525982,0.001241763],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005351176,"about_ca_system_score_gemma":0.0003674981,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005766766,"about_ca_topic_score_gemma":0.004453529,"domain_scores_codex":[0.9997604,0.0000387977,0.00001089572,0.00007381175,0.0000786588,0.0000374372],"domain_scores_gemma":[0.9997577,0.00007019068,0.00002397908,0.0000296364,0.000105689,0.00001285322],"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":[0.0006550492,0.0001062663,0.002446149,0.0001832531,0.00009762421,0.0001738777,0.0001622405,0.145646,0.1955168,0.003726206,0.001696789,0.6495898],"study_design_scores_gemma":[0.00004027772,0.0002175174,0.002718504,0.00002157241,0.00003533494,0.0003116319,0.00003689357,0.9009113,0.09115357,0.001240591,0.003276604,0.00003619655],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05595127,0.000336092,0.9405394,0.00009932748,0.00002955998,0.00003088063,0.000046097,0.001929372,0.001038015],"genre_scores_gemma":[0.4795173,0.0003189131,0.5142435,0.00005206114,0.00003783384,0.00007670729,0.00009687448,0.0001423589,0.005514439],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005766766,"threshold_uncertainty_score":0.01146644,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02469003388496174,"score_gpt":0.2695357074661288,"score_spread":0.244845673581167,"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."}}