{"id":"W1978163866","doi":"10.1109/icip.2008.4712361","title":"Single image per person face recognition with images synthesized by non-linear approximation","year":2008,"lang":"en","type":"article","venue":"","topic":"Face and Expression Recognition","field":"Computer Science","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Face (sociological concept); Facial recognition system; Image (mathematics); Computer science; Domain (mathematical analysis); Enhanced Data Rates for GSM Evolution; Artificial intelligence; Minification; Computer vision; Pattern recognition (psychology); Mathematics; World Wide Web","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":[0.000122082,0.0001708459,0.0001582258,0.00008445868,0.0002348092,0.0001069345,0.0002435206,0.00007337383,0.0001971528],"category_scores_gemma":[0.00003134717,0.0001289623,0.00005149166,0.0001968275,0.00006956747,0.001478088,0.00003930087,0.0001104165,0.0007434551],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003164438,"about_ca_system_score_gemma":0.00002903001,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004396092,"about_ca_topic_score_gemma":0.000001592338,"domain_scores_codex":[0.9988203,0.00005879378,0.0001555803,0.0004081431,0.0003114985,0.0002456981],"domain_scores_gemma":[0.9993253,0.00006880872,0.00009223822,0.0002707859,0.0001552237,0.00008768411],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00007839446,0.0004508338,0.00007312858,0.00004265677,0.00002377433,0.0000233665,0.002140109,0.00001573114,0.888378,0.0000125337,0.05265204,0.05610948],"study_design_scores_gemma":[0.0009667453,0.0002489165,0.0001996434,0.00008287116,0.00001191142,0.0001054343,0.0006294087,0.03929977,0.9570115,0.0000891355,0.0009441677,0.0004105124],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1763443,0.0000253567,0.8106021,0.001036013,0.00006274371,0.0002620963,0.00001099919,0.0002941808,0.01136226],"genre_scores_gemma":[0.5667996,0.00004651452,0.4296891,0.0004710653,0.00005516241,0.00006626984,0.00009324817,0.00002370651,0.002755353],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.3904553,"threshold_uncertainty_score":0.9555859,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02675664787788015,"score_gpt":0.2217472094840858,"score_spread":0.1949905616062057,"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."}}