{"id":"W2975640753","doi":"10.18280/ts.360306","title":"An Image Classification Method Based on Optimized Fuzzy Bag-of-words Model","year":2019,"lang":"en","type":"article","venue":"Traitement du signal","topic":"Advanced Image and Video Retrieval Techniques","field":"Computer Science","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Government of Jiangsu Province; Xuzhou Institute of Technology; National Natural Science Foundation of China","keywords":"Artificial intelligence; Pattern recognition (psychology); Mathematics; Fuzzy logic; Membership function; Particle swarm optimization; Contextual image classification; Fuzzy classification; Pascal (unit); Image (mathematics); Histogram; Computer science; Fuzzy set; Algorithm","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":[0.0007442705,0.0008416854,0.001437204,0.00203406,0.0005873803,0.00121182,0.001623846,0.001296735,0.001737381],"category_scores_gemma":[0.001795086,0.0003507914,0.001283231,0.001383189,0.0005232532,0.002997712,0.0006838519,0.001115557,0.001049695],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008074589,"about_ca_system_score_gemma":0.0008123097,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005285153,"about_ca_topic_score_gemma":0.003476802,"domain_scores_codex":[0.9989939,0.0001099323,0.00008970419,0.0003117395,0.0003903133,0.0001044412],"domain_scores_gemma":[0.9994728,0.0001292245,0.00005512394,0.00005104797,0.000265689,0.00002613583],"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":[0.0002822837,0.0001448949,0.001656132,0.0002587937,0.0001335004,0.0001117571,0.0001535169,0.04847432,0.02456853,0.01103855,0.004741805,0.9084359],"study_design_scores_gemma":[0.00001745084,0.000082066,0.0007475053,0.00002086791,0.00005325602,0.0001668876,0.00004721931,0.9797524,0.009277634,0.006541303,0.003256557,0.00003684056],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01347223,0.000930774,0.9834742,0.0001583844,0.0001569174,0.00007355266,0.00008593734,0.000758687,0.0008892593],"genre_scores_gemma":[0.4071016,0.001104127,0.5826849,0.0003744954,0.0002898146,0.0002774789,0.0006856272,0.000201174,0.007280751],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005285153,"threshold_uncertainty_score":0.01050878,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02822440508993553,"score_gpt":0.3275672652744723,"score_spread":0.2993428601845368,"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."}}