{"id":"W2132308301","doi":"10.1016/j.patcog.2013.04.005","title":"A simple feature combination method based on dominant sets","year":2013,"lang":"en","type":"article","venue":"Pattern Recognition","topic":"Remote-Sensing Image Classification","field":"Engineering","cited_by":47,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"York University; Universität Wien; University College London; McGill University; National ICT Australia","keywords":"Pattern recognition (psychology); Discriminative model; Artificial intelligence; Weighting; Computer science; Kernel (algebra); Computation; Kernel method; Simple (philosophy); Feature (linguistics); Classifier (UML); Cluster analysis; Support vector machine; Machine learning; Mathematics; Algorithm","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.000929145,0.001399516,0.001953,0.002944088,0.000753569,0.001125447,0.001143743,0.0006398265,0.003928409],"category_scores_gemma":[0.001173205,0.0004951889,0.001489784,0.002530251,0.0003364945,0.001510084,0.001032803,0.0007589405,0.002729706],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002944755,"about_ca_system_score_gemma":0.0008382781,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001680428,"about_ca_topic_score_gemma":0.00261033,"domain_scores_codex":[0.9987418,0.000123549,0.00008321673,0.0002481719,0.0007117408,0.0000915804],"domain_scores_gemma":[0.9994057,0.0001098935,0.00002647722,0.00009259153,0.0003327824,0.00003257148],"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":[0.0001593018,0.0001474492,0.0005611731,0.0001517299,0.000144948,0.00004413259,0.0000276338,0.003499344,0.04943569,0.001440948,0.003898251,0.9404894],"study_design_scores_gemma":[0.0001358578,0.0008029531,0.01524034,0.00007494584,0.0008731555,0.001482789,0.0001389001,0.8044106,0.1312316,0.009683662,0.0356296,0.0002955662],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01036302,0.0006215563,0.9851648,0.00006759498,0.0002319195,0.0001520868,0.0002020916,0.001254684,0.001942163],"genre_scores_gemma":[0.1332498,0.0006986917,0.8570414,0.0001262368,0.0002249015,0.0003029927,0.001092617,0.0002304988,0.00703283],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003928409,"threshold_uncertainty_score":0.01314187,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02268737437420769,"score_gpt":0.2590961542091657,"score_spread":0.236408779834958,"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."}}