{"id":"W2945371405","doi":"10.1007/s11042-019-7685-2","title":"Robust coding in a global subspace model and its collaboration with a local model for visual tracking","year":2019,"lang":"en","type":"article","venue":"Multimedia Tools and Applications","topic":"Video Surveillance and Tracking Methods","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; Subspace topology; Residual; Artificial intelligence; BitTorrent tracker; Eye tracking; Coding (social sciences); Pattern recognition (psychology); Leverage (statistics); Computer vision; Bayesian inference; Bayesian probability; Machine learning; Algorithm; Mathematics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001037345,0.0006761111,0.0007448501,0.0006458887,0.0003033433,0.0008439143,0.0009263927,0.00103236,0.001103201],"category_scores_gemma":[0.003322747,0.0004077641,0.0008949489,0.0009220577,0.0008489556,0.001655974,0.001600328,0.001415865,0.0004960099],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003797786,"about_ca_system_score_gemma":0.0006316283,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003985072,"about_ca_topic_score_gemma":0.00302385,"domain_scores_codex":[0.9994573,0.0001892786,0.00002192419,0.0001199044,0.0001639761,0.0000476162],"domain_scores_gemma":[0.9988322,0.0005732903,0.0001086454,0.0002414465,0.0001998646,0.0000446314],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001421246,0.0000696466,0.0004833248,0.0001096748,0.00009182618,0.00007398734,0.0001713453,0.6668767,0.02839536,0.09991464,0.002161257,0.2015101],"study_design_scores_gemma":[0.000002576088,0.00001871191,0.00006807005,0.000003902451,0.000007789691,0.00001666143,0.000005508169,0.989796,0.001853533,0.007672673,0.0005458116,0.000008862471],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003602204,0.0001174867,0.9956145,0.00006376601,0.00001789447,0.000005548463,0.00001510885,0.00008609629,0.0004774503],"genre_scores_gemma":[0.4569311,0.001175963,0.53147,0.0002315716,0.0001946942,0.0001267607,0.0004090786,0.0003336472,0.009127169],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003985072,"threshold_uncertainty_score":0.007923782,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05348745259543691,"score_gpt":0.321238950497349,"score_spread":0.2677514979019121,"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."}}