{"id":"W2029273427","doi":"10.1051/mmnp/20149506","title":"The Projection Method for Multidimensional Framelet and Wavelet Analysis","year":2014,"lang":"en","type":"article","venue":"Mathematical Modelling of Natural Phenomena","topic":"Image and Signal Denoising Methods","field":"Computer Science","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Projection (relational algebra); Wavelet; Oblique projection; Mathematics; Projection method; Algorithm; Filter (signal processing); Fourier transform; Mathematical analysis; Computer science; Dykstra's projection algorithm; Orthographic projection; Artificial intelligence; Geometry; Computer vision","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001962457,0.0009804434,0.0008776577,0.001448569,0.000645354,0.001625831,0.000966706,0.001422906,0.00591936],"category_scores_gemma":[0.003405282,0.0004759659,0.00124072,0.002505969,0.002089327,0.002439139,0.001866405,0.004063745,0.002757527],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000558213,"about_ca_system_score_gemma":0.001036798,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006454068,"about_ca_topic_score_gemma":0.0006186459,"domain_scores_codex":[0.9986877,0.0004207513,0.0000912936,0.0002277136,0.0005040594,0.0000684498],"domain_scores_gemma":[0.9990571,0.0003575397,0.00007519065,0.0002481385,0.0002125099,0.00004954348],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00004463303,0.00002121984,0.0001332552,0.0003179324,0.00004447874,0.0001845366,0.0001802934,0.00861652,0.009109573,0.8405882,0.006112198,0.1346471],"study_design_scores_gemma":[0.00004317759,0.0001237078,0.0004369305,0.0001784729,0.00005220832,0.001012183,0.00007623598,0.2088277,0.01182913,0.6065984,0.1707309,0.00009114085],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.000376466,0.0006615564,0.9968655,0.0001210112,0.0001858475,0.00001916944,0.0000353855,0.00008008723,0.001654866],"genre_scores_gemma":[0.02484196,0.003929244,0.9619195,0.000355199,0.0007161106,0.00033938,0.0002340285,0.0002260669,0.007438438],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.00591936,"threshold_uncertainty_score":0.01980227,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03052842478016001,"score_gpt":0.2969988044320911,"score_spread":0.2664703796519312,"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."}}