{"id":"W4405791745","doi":"10.18280/isi.290634","title":"Improving Image Recognition Accuracy Using Multi-Views Spectral Clustering","year":2024,"lang":"en","type":"article","venue":"Ingénierie des systèmes d information","topic":"Infrared Target Detection Methodologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Mustansiriyah University","keywords":"Artificial intelligence; Cluster analysis; Pattern recognition (psychology); Computer science; Image (mathematics); Spectral clustering; Computer vision","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":[0.0009108594,0.001112899,0.001400636,0.002507842,0.0004280856,0.001432039,0.002060857,0.001427916,0.002661772],"category_scores_gemma":[0.003173479,0.0004441324,0.001099671,0.001225677,0.0003717896,0.002256913,0.001369683,0.001134325,0.003228796],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007000507,"about_ca_system_score_gemma":0.0005495727,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003964452,"about_ca_topic_score_gemma":0.004269965,"domain_scores_codex":[0.9981284,0.0001894741,0.00008253258,0.0004861198,0.000920789,0.000192659],"domain_scores_gemma":[0.9983861,0.0002723394,0.0001470313,0.0004653616,0.0006664138,0.00006282861],"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":[0.000389879,0.000141404,0.001607505,0.000129031,0.0001336112,0.0001061842,0.00006490823,0.05039512,0.06368282,0.001578846,0.004670439,0.8771003],"study_design_scores_gemma":[0.000009087991,0.00007091231,0.001522759,0.00001572122,0.00003983055,0.0001982124,0.00004572949,0.9498706,0.04499607,0.00100119,0.002197606,0.00003226081],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.07550872,0.002279646,0.9075058,0.0003164236,0.0003239325,0.00008164112,0.0002017233,0.008462658,0.00531939],"genre_scores_gemma":[0.5779385,0.001037397,0.4135332,0.0003004847,0.0001445241,0.00005961437,0.001092821,0.0004041802,0.005489278],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003964452,"threshold_uncertainty_score":0.008904517,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06605161746722914,"score_gpt":0.2922009779082875,"score_spread":0.2261493604410584,"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."}}