{"id":"W1989159905","doi":"10.1117/12.650866","title":"&lt;title&gt;Cosine transform generalized to lie groups SU(2)xSU(2), O(5), and SU(2)xSU(2)xSU(2): application to digital image processing&lt;/title&gt;","year":2006,"lang":"en","type":"article","venue":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","topic":"Digital Filter Design and Implementation","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lockheed Martin (Canada); Université de Montréal","funders":"","keywords":"Discrete cosine transform; Algorithm; Computer science; Interpolation (computer graphics); Atmospherics; Artificial intelligence; Physics; Image (mathematics)","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002442084,0.0002600416,0.0002615661,0.0001373738,0.0000735196,0.0005933064,0.0007584492,0.00009660891,0.00001691529],"category_scores_gemma":[0.00007627127,0.0002312997,0.0002093156,0.0004422065,0.00007950977,0.001024096,0.0001566489,0.0001151075,0.00003349661],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001182671,"about_ca_system_score_gemma":0.00003257695,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004964523,"about_ca_topic_score_gemma":2.67413e-7,"domain_scores_codex":[0.9982076,2.769805e-8,0.0004885391,0.0004233163,0.0005395078,0.000341051],"domain_scores_gemma":[0.9989345,0.00003605483,0.0001553221,0.0000756489,0.0006525237,0.0001459612],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002968945,0.00008634102,0.00003050601,0.0001843549,0.00005760877,1.321737e-7,0.0001478089,0.0000139919,0.2778908,0.6812533,0.02610132,0.01420413],"study_design_scores_gemma":[0.003839673,0.001474786,0.002265242,0.00075562,0.0002308519,0.00009885743,0.0003776226,0.1104337,0.2360486,0.04697839,0.5950575,0.00243914],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9166757,0.0001166912,0.03009658,0.005057022,0.000236187,0.001201463,0.0001059798,0.0002452007,0.04626512],"genre_scores_gemma":[0.7178415,0.00004280869,0.2779383,0.0004981008,0.0007766171,0.0003454572,0.00006976518,0.0001045211,0.002382892],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6342749,"threshold_uncertainty_score":0.9432127,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008816984294050118,"score_gpt":0.2279209927312668,"score_spread":0.2191040084372167,"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."}}