{"id":"W4298391316","doi":"","title":"Accurate and Efficient Filtering using Anisotropic Filter Decomposition","year":2013,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Image and Signal Denoising Methods","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Decomposition; Filter (signal processing); Computer science; Environmental science; Materials science; Chemistry; Computer vision","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":[0.0009042809,0.0009127737,0.0009054332,0.001012694,0.0004627762,0.001807969,0.0008771648,0.0009522194,0.002461187],"category_scores_gemma":[0.003243783,0.0004730611,0.0008925216,0.001432321,0.000693937,0.001537881,0.001127035,0.001518792,0.001736179],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004567071,"about_ca_system_score_gemma":0.0008500848,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00342789,"about_ca_topic_score_gemma":0.005075773,"domain_scores_codex":[0.9993557,0.00008856333,0.00004260059,0.00009872756,0.0003593279,0.00005500144],"domain_scores_gemma":[0.9987811,0.0003944332,0.00009001197,0.000401772,0.0002812457,0.00005143687],"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":[0.0002596661,0.00009044496,0.001282037,0.0002480248,0.0001171422,0.00024609,0.0002959886,0.2028485,0.2223351,0.05143847,0.0130816,0.507757],"study_design_scores_gemma":[0.0000180884,0.00002774686,0.0004739059,0.00001504202,0.0000151534,0.0001491759,0.00003373732,0.9376782,0.03096703,0.02020091,0.01039207,0.00002887947],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003402481,0.00004923876,0.9954438,0.00006521875,0.00001975871,0.00000845555,0.00006328855,0.000388479,0.000559227],"genre_scores_gemma":[0.05359402,0.0003114446,0.9430883,0.000055306,0.00004788312,0.00004728308,0.0004455978,0.0003496365,0.0020605],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.00342789,"threshold_uncertainty_score":0.008233547,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02614668042464487,"score_gpt":0.2745105355137485,"score_spread":0.2483638550891037,"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."}}