{"id":"W1988085614","doi":"10.1016/s0895-7177(00)00195-3","title":"Progressive transmission of images: PC-based computations, using orthogonal matrix polynomials","year":2000,"lang":"en","type":"article","venue":"Mathematical and Computer Modelling","topic":"Advanced Image Fusion Techniques","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Piecewise; Computation; Matrix (chemical analysis); Polynomial; Computer science; Image (mathematics); Algorithm; Set (abstract data type); Mathematics; Digital image; Base (topology); Computer vision; Image processing; Mathematical analysis","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":[0.0003757102,0.0005318305,0.0003460317,0.0006616499,0.0004197828,0.0009210886,0.0006000472,0.0003584852,0.006288781],"category_scores_gemma":[0.002304996,0.0001854072,0.0002979073,0.001151467,0.0003516308,0.001183283,0.000448633,0.0005461156,0.001019771],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003686979,"about_ca_system_score_gemma":0.0007494875,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005142543,"about_ca_topic_score_gemma":0.006510749,"domain_scores_codex":[0.9998325,0.00002538803,0.000009478322,0.00001733621,0.00009493009,0.00002033019],"domain_scores_gemma":[0.9993636,0.0002749003,0.00003525509,0.0001026774,0.0001974199,0.00002619761],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007749937,0.0001441281,0.001276304,0.0003003526,0.00006036229,0.0003054609,0.000488548,0.2452495,0.06175928,0.06240613,0.003970169,0.6232648],"study_design_scores_gemma":[0.00002536563,0.00005849542,0.0004405178,0.00001016664,0.00002035036,0.000118889,0.00006219777,0.9664365,0.02513678,0.004636806,0.00303931,0.00001463404],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04969996,0.0001175282,0.9440556,0.00007350685,0.00004602047,0.00005757767,0.00008176541,0.001184105,0.004683863],"genre_scores_gemma":[0.336722,0.0003197574,0.6586096,0.00002622327,0.0000388993,0.00007115021,0.000182942,0.0002035519,0.003825746],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006288781,"threshold_uncertainty_score":0.021038,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01591494703706537,"score_gpt":0.2558667497094911,"score_spread":0.2399518026724257,"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."}}