{"id":"W2492844442","doi":"10.1017/cbo9780511543395.010","title":"Higher-dimensional wavelets","year":2004,"lang":"en","type":"book-chapter","venue":"Cambridge University Press eBooks","topic":"Image and Signal Denoising Methods","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Wavelet; Gabor wavelet; Legendre wavelet; Formalism (music); Computer science; Pure mathematics; Mathematics; Statistical physics; Artificial intelligence; Calculus (dental); Physics; Wavelet transform; Discrete wavelet transform; Art; Medicine","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":[0.0006004726,0.0005864246,0.0004613897,0.001197304,0.0003673097,0.001957672,0.0003905944,0.0007463892,0.008010888],"category_scores_gemma":[0.001087226,0.0002353482,0.0004364275,0.001556251,0.0007864835,0.002259892,0.0006450154,0.001752453,0.00338884],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005444965,"about_ca_system_score_gemma":0.0003206435,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002976436,"about_ca_topic_score_gemma":0.0003456893,"domain_scores_codex":[0.9997573,0.0000413329,0.00001819457,0.00005073427,0.0001151051,0.00001717727],"domain_scores_gemma":[0.9996636,0.0001533388,0.00001542734,0.0000545385,0.00009149653,0.00002169717],"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":[0.00001303438,0.00001554869,0.00006677367,0.0001944861,0.000009375345,0.00008078488,0.0003085121,0.002463973,0.004923185,0.8546415,0.02231972,0.1149631],"study_design_scores_gemma":[0.000006646462,0.00003237783,0.0002953183,0.0001148663,0.00000960122,0.0003787485,0.00008615615,0.01534982,0.003644788,0.4381787,0.5418763,0.00002675323],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01359596,0.04681981,0.6969104,0.003845204,0.005325566,0.00005089329,0.0003528492,0.0007347988,0.2323644],"genre_scores_gemma":[0.1590294,0.07768455,0.4006862,0.002100059,0.005103399,0.0001700473,0.0008195805,0.0008444114,0.3535624],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008010888,"threshold_uncertainty_score":0.02679908,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02949029647508983,"score_gpt":0.2195410627969251,"score_spread":0.1900507663218353,"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."}}