{"id":"W2385897820","doi":"","title":"Color Image Face Detection Based on AdaBoost Algorithm","year":2011,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Artificial intelligence; Computer science; AdaBoost; Pattern recognition (psychology); Computer vision; Color image; Color balance; Face detection; Image (mathematics); Face (sociological concept); Color histogram; Gray (unit); Facial recognition system; Image processing; Classifier (UML)","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":[0.0009632894,0.0007687265,0.001219256,0.001695189,0.0005804189,0.0008271458,0.001252285,0.000958332,0.001567735],"category_scores_gemma":[0.001362258,0.0003587086,0.0007390308,0.0007988982,0.0004031288,0.0009021496,0.000389984,0.0008652552,0.0006837372],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006476732,"about_ca_system_score_gemma":0.0007374996,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004593881,"about_ca_topic_score_gemma":0.002713288,"domain_scores_codex":[0.9990601,0.0001333683,0.00003667556,0.0002121778,0.0004488121,0.0001088804],"domain_scores_gemma":[0.9993318,0.0001372019,0.00004400497,0.00003091937,0.0004270914,0.00002898502],"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":[0.0003986897,0.0003000294,0.002715592,0.0001485796,0.0001494212,0.00007720634,0.0000711951,0.05834569,0.0306219,0.003365579,0.004128674,0.8996775],"study_design_scores_gemma":[0.00002522568,0.00009966555,0.00174031,0.00001111149,0.00003395179,0.0001426899,0.00002258799,0.9791074,0.01515933,0.00156099,0.002066331,0.00003029854],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03116658,0.0003971638,0.9641166,0.0001019925,0.0001869502,0.0001194866,0.00004567952,0.001756974,0.00210855],"genre_scores_gemma":[0.422941,0.0003818596,0.5704588,0.0001664125,0.0001472654,0.0002323322,0.0001766227,0.0001181316,0.005377647],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004593881,"threshold_uncertainty_score":0.009134293,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01245960122673719,"score_gpt":0.1918817049902764,"score_spread":0.1794221037635392,"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."}}