{"id":"W2472380135","doi":"10.1142/s0218001417550060","title":"Fast Circle Detection Using Spatial Decomposition of Hough Transform","year":2016,"lang":"en","type":"article","venue":"International Journal of Pattern Recognition and Artificial Intelligence","topic":"Image and Object Detection Techniques","field":"Computer Science","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Regina","funders":"","keywords":"Hough transform; Artificial intelligence; Quantization (signal processing); Computer vision; Vector quantization; Computer science; Edge detection; Pattern recognition (psychology); Enhanced Data Rates for GSM Evolution; Algorithm; Learning vector quantization; Image processing; Mathematics; 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":[0.0004214719,0.0004826203,0.0006832787,0.001620656,0.0003088747,0.0005876841,0.0006698865,0.0005035566,0.001722955],"category_scores_gemma":[0.001870857,0.0003437187,0.000468117,0.001742364,0.0004236911,0.001561594,0.0007763163,0.0004823518,0.0008602119],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003462006,"about_ca_system_score_gemma":0.000532244,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002127067,"about_ca_topic_score_gemma":0.00137469,"domain_scores_codex":[0.9992121,0.00009813461,0.0000333135,0.0001258399,0.0004669269,0.00006354818],"domain_scores_gemma":[0.9991207,0.0002484117,0.00007491706,0.0001652378,0.0003536344,0.00003710942],"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":[0.0003408709,0.00005477103,0.001321687,0.0001519803,0.00004476322,0.0001778297,0.0001794127,0.04499509,0.1421012,0.01078642,0.004025627,0.7958203],"study_design_scores_gemma":[0.00002277363,0.00009586842,0.001386674,0.000008467224,0.00001408567,0.0004108117,0.00005035667,0.919053,0.0686985,0.004879703,0.005347303,0.00003253877],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01607498,0.0003833174,0.9815328,0.00005629612,0.00004043189,0.0000254101,0.00003872975,0.001009009,0.0008390378],"genre_scores_gemma":[0.3103149,0.0005845507,0.6865457,0.00005856184,0.00005276834,0.00006171628,0.0003320147,0.0001186248,0.001931164],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002127067,"threshold_uncertainty_score":0.005763888,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04742600148727358,"score_gpt":0.3131570409075625,"score_spread":0.265731039420289,"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."}}