{"id":"W4238967312","doi":"10.1007/978-1-4612-1258-4_14","title":"Multidimensional Wavelets","year":2000,"lang":"en","type":"book-chapter","venue":"Graduate texts in contemporary physics","topic":"Image and Signal Denoising Methods","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"","keywords":"Wavelet; Dimension (graph theory); Turbulence; Statistical physics; Physics; Theoretical physics; Mathematics; Computer science; Pure mathematics; Artificial intelligence; Mechanics","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":[0.0003378747,0.0008203334,0.0006183567,0.001230116,0.0003751155,0.00167557,0.0004928429,0.0007333729,0.02467838],"category_scores_gemma":[0.0008348898,0.0003523164,0.0003275284,0.001771279,0.0005654265,0.001749611,0.0009400571,0.001758992,0.01473025],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002964061,"about_ca_system_score_gemma":0.0002341774,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001568621,"about_ca_topic_score_gemma":0.0002670132,"domain_scores_codex":[0.9998154,0.00002243939,0.00001074912,0.00004454901,0.00009666238,0.00001026324],"domain_scores_gemma":[0.9997942,0.0000444972,0.00001144089,0.00006742459,0.00006388145,0.0000186343],"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":[0.00001989572,0.00003175164,0.00007566057,0.0001822361,0.00001508874,0.00007333337,0.0001728072,0.00158275,0.008342444,0.4525403,0.09747904,0.4394847],"study_design_scores_gemma":[0.000008333256,0.0000419031,0.0005466702,0.0001293588,0.00001879639,0.0005434445,0.00007239876,0.0149596,0.006345596,0.2679892,0.7093199,0.0000247246],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.005336728,0.02697603,0.6469675,0.002418934,0.004666215,0.00004574618,0.0005439174,0.001318232,0.3117267],"genre_scores_gemma":[0.05715261,0.02946766,0.2490918,0.0008780982,0.002992984,0.00012346,0.001153308,0.001167121,0.6579731],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02467838,"threshold_uncertainty_score":0.08255738,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1202723996792054,"score_gpt":0.2988942908849726,"score_spread":0.1786218912057672,"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."}}