{"id":"W4415180801","doi":"10.1109/tce.2025.3617466","title":"Stable and Invertible Generic Fourier Descriptors for Shape-Based Image Classification","year":2025,"lang":"en","type":"article","venue":"IEEE Transactions on Consumer Electronics","topic":"Image Retrieval and Classification Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Military College of Canada","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Completeness (order theory); Property (philosophy); Invariant (physics); Pattern recognition (psychology); Optimal distinctiveness theory; Invertible matrix; Fourier transform; Contextual image classification; Image (mathematics)","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001021082,0.0005063965,0.0007501585,0.001914934,0.0002487233,0.0008330529,0.0008320759,0.0005662765,0.001378],"category_scores_gemma":[0.003043493,0.0001541977,0.0007131575,0.001686044,0.0007864655,0.001264037,0.0009283955,0.0009002297,0.0008211022],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005237769,"about_ca_system_score_gemma":0.0005885981,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001181998,"about_ca_topic_score_gemma":0.000947843,"domain_scores_codex":[0.9991575,0.0001240676,0.00005664324,0.0001444206,0.0004455463,0.00007171454],"domain_scores_gemma":[0.9991701,0.0002137272,0.0001131295,0.000265637,0.0002004263,0.00003699225],"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":[0.0002573523,0.0001638477,0.001575242,0.0001997532,0.00006139265,0.0000995608,0.00008093703,0.05121861,0.06873103,0.03114542,0.004419493,0.8420473],"study_design_scores_gemma":[0.00003066815,0.0003164389,0.003966236,0.00004187655,0.00005211363,0.0005637321,0.0001131616,0.9073564,0.05099009,0.02708557,0.009417497,0.00006625774],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03672208,0.0006899604,0.9593745,0.0001387639,0.00006543699,0.0000965559,0.0003028204,0.0005467938,0.002062951],"genre_scores_gemma":[0.5639492,0.001720812,0.4275045,0.0001775626,0.0002250322,0.0002177701,0.002654914,0.0001508274,0.003399414],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001914934,"threshold_uncertainty_score":0.005400062,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02589539262469918,"score_gpt":0.2671511847742005,"score_spread":0.2412557921495014,"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."}}