{"id":"W2937874362","doi":"10.1007/978-3-030-21803-4_32","title":"Low-Rank Matrix Recovery with Ky Fan 2-k-Norm","year":2019,"lang":"en","type":"book-chapter","venue":"Advances in intelligent systems and computing","topic":"Sparse and Compressive Sensing Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Matrix norm; Rank (graph theory); Mathematics; Matrix (chemical analysis); Norm (philosophy); Combinatorics; Philosophy; Materials science; Epistemology; Physics; Composite material; Eigenvalues and eigenvectors","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":[0.0004944133,0.00101953,0.0006086525,0.0006784669,0.0003126113,0.001223634,0.0006374926,0.0009369079,0.009333994],"category_scores_gemma":[0.001750275,0.0002883273,0.000362989,0.001100695,0.0008357872,0.001720863,0.001144441,0.00164992,0.00578883],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002749122,"about_ca_system_score_gemma":0.0005800107,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000890909,"about_ca_topic_score_gemma":0.001486286,"domain_scores_codex":[0.9996105,0.0000837645,0.00002134342,0.00006502454,0.0002000541,0.0000193012],"domain_scores_gemma":[0.9996518,0.0001341706,0.00002702705,0.00007639564,0.00009682406,0.00001370114],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001799434,0.00006490175,0.0001843943,0.0004603033,0.00004300791,0.0001272292,0.0001358132,0.07369065,0.02136318,0.2037525,0.04405676,0.6559414],"study_design_scores_gemma":[0.00002650677,0.0001077351,0.000349392,0.0001159252,0.00001861849,0.0005910895,0.00008759149,0.7097112,0.02429794,0.1737781,0.09085252,0.00006344214],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001282693,0.0007832827,0.9873745,0.0002561997,0.0001537202,0.00002214522,0.0001685061,0.0004182175,0.009540681],"genre_scores_gemma":[0.05732957,0.00263914,0.897638,0.0002863863,0.0003206239,0.00009624455,0.001024187,0.0003812184,0.04028459],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.009333994,"threshold_uncertainty_score":0.03122532,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009048074065528535,"score_gpt":0.2301721976812113,"score_spread":0.2211241236156828,"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."}}