{"id":"W1895635952","doi":"10.1109/pacrim.2001.953572","title":"Facial feature extraction from a video sequence using independent component analysis (ICA)","year":2002,"lang":"en","type":"article","venue":"","topic":"Blind Source Separation Techniques","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Artificial intelligence; Computer science; Independent component analysis; Feature extraction; Computer vision; Pattern recognition (psychology); Feature (linguistics); Face (sociological concept); Subspace topology; Facial recognition system; YCbCr; Image processing; Color image; 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":[0.0002244082,0.0007720267,0.0005171312,0.00124384,0.0002460123,0.000410031,0.0003335652,0.0004056999,0.001475155],"category_scores_gemma":[0.001009255,0.0001903993,0.0004279346,0.0008299514,0.0002541889,0.0005747168,0.0002404053,0.0005569655,0.001212365],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002095907,"about_ca_system_score_gemma":0.0003758896,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002204146,"about_ca_topic_score_gemma":0.002476988,"domain_scores_codex":[0.9998176,0.00001857682,0.00001127291,0.0000444833,0.00009196442,0.00001602583],"domain_scores_gemma":[0.999821,0.00004478773,0.00002029002,0.00002099481,0.00008353083,0.000009437012],"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":[0.0001285348,0.00003556604,0.000587939,0.0002284297,0.00003198851,0.0001556026,0.00008034438,0.006910047,0.2410227,0.002222395,0.002357239,0.7462392],"study_design_scores_gemma":[0.00005998613,0.0005788744,0.01739787,0.0001947063,0.0002020464,0.002077375,0.00024633,0.4816199,0.4383647,0.009879874,0.0492388,0.0001396025],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01745548,0.000904495,0.9777206,0.0001265063,0.0001864229,0.00009941123,0.0002140341,0.0009996068,0.002293487],"genre_scores_gemma":[0.1137109,0.002276941,0.8796052,0.00007596755,0.0001888813,0.0001406824,0.0006570554,0.0001069964,0.003237374],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002204146,"threshold_uncertainty_score":0.004934907,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06752648069568305,"score_gpt":0.3098864234020929,"score_spread":0.2423599427064098,"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."}}