{"id":"W38794867","doi":"10.5220/0001072200130021","title":"NEW INVARIANT DESCRIPTORS BASED ON THE MELLIN TRANSFORM","year":2008,"lang":"en","type":"article","venue":"","topic":"Medical Image Segmentation Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec en Outaouais; Université de Sherbrooke","funders":"","keywords":"Invariant (physics); Artificial intelligence; Mellin transform; Computer science; Mellin inversion theorem; Pattern recognition (psychology); Mathematics; Fourier transform; Fractional Fourier transform; Mathematical analysis; Fourier analysis","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":[0.0009313533,0.0006501777,0.001015425,0.004071267,0.0003160721,0.002398363,0.001014888,0.0007805735,0.003790139],"category_scores_gemma":[0.003137512,0.0002530333,0.0008337016,0.0033632,0.001177419,0.003342424,0.001064249,0.001079629,0.001928592],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007634778,"about_ca_system_score_gemma":0.000597548,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000833596,"about_ca_topic_score_gemma":0.0005172084,"domain_scores_codex":[0.9988966,0.0001158057,0.00009135808,0.000185929,0.0006119584,0.00009830752],"domain_scores_gemma":[0.9987721,0.0002768259,0.0002574161,0.0002518145,0.0003688947,0.00007296308],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003511226,0.0002164043,0.003858787,0.0004070682,0.000136578,0.0003728222,0.0001736563,0.02878744,0.07017959,0.1575879,0.01581148,0.7221171],"study_design_scores_gemma":[0.0001034501,0.0004791323,0.01188227,0.0001294178,0.0002009499,0.002427749,0.0002399255,0.7500235,0.05545136,0.09170523,0.08706346,0.0002935769],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02578641,0.001470045,0.965657,0.0002754919,0.0003666575,0.0000986116,0.0006961513,0.001226647,0.004423052],"genre_scores_gemma":[0.3703448,0.001713551,0.6137476,0.0004505515,0.001038644,0.0002675462,0.0028862,0.0005705663,0.008980532],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004071267,"threshold_uncertainty_score":0.01267928,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03861528348549951,"score_gpt":0.2459213528488594,"score_spread":0.2073060693633599,"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."}}