{"id":"W4416677236","doi":"10.1109/dsaa65442.2025.11247986","title":"Scalable Deep Subspace Clustering Network","year":2025,"lang":"","type":"article","venue":"","topic":"Face and Expression Recognition","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Cluster analysis; Pattern recognition (psychology); Subspace topology; Spectral clustering; Pairwise comparison; Computational complexity theory; Correlation clustering; Feature (linguistics); Bottleneck","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004155227,0.0002573584,0.0002795089,0.0001334194,0.0005377923,0.0006813541,0.0008004481,0.0001990878,0.001023708],"category_scores_gemma":[0.00003640972,0.000245638,0.0001269948,0.001322769,0.00006178781,0.0007147108,0.001094503,0.000265786,0.001063646],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005851298,"about_ca_system_score_gemma":0.0001313762,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000977555,"about_ca_topic_score_gemma":0.0002112866,"domain_scores_codex":[0.9977688,0.0001244571,0.0003965337,0.0006864924,0.0002601905,0.0007635266],"domain_scores_gemma":[0.9987519,0.0001396655,0.00008893094,0.0007168372,0.0001448428,0.0001577842],"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":[0.00006468676,0.0002235803,0.001794598,0.0002482738,0.0001039632,0.00002937613,0.0004985763,0.04643374,0.00100358,0.02135929,0.2791057,0.6491346],"study_design_scores_gemma":[0.0004628314,0.00004647688,0.0007976449,0.000621278,0.00002256157,0.000004347561,0.0001093873,0.94714,0.002341897,0.004601174,0.04354735,0.0003050271],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001504294,0.001458587,0.8401598,0.004194474,0.003562564,0.0002306327,4.834172e-7,0.0001805059,0.1487087],"genre_scores_gemma":[0.7045032,0.001072818,0.1360729,0.009900341,0.0005997026,0.00005348018,0.000006183157,0.00002724627,0.1477641],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9007063,"threshold_uncertainty_score":0.9999996,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01253013401121324,"score_gpt":0.2461978347078214,"score_spread":0.2336677006966082,"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."}}