{"id":"W2102091835","doi":"10.1109/ccece.1995.528099","title":"An adaptive fractal-based algorithm for image compression","year":2002,"lang":"en","type":"article","venue":"","topic":"Mathematical Dynamics and Fractals","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Fractal compression; Iterated function system; Algorithm; Fractal transform; Fractal; Image compression; Compression ratio; Image (mathematics); Range (aeronautics); Compression (physics); Iterated function; Data compression; Computer science; Quadtree; Mathematics; Function (biology); Pixel; Image processing; Artificial intelligence","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":[0.0003611741,0.0004590928,0.0004304444,0.0009466999,0.0003255659,0.0004992918,0.0006950152,0.0007746171,0.002093472],"category_scores_gemma":[0.001228518,0.000163591,0.0003762914,0.0008611604,0.000490136,0.0007868164,0.0005042299,0.0007531741,0.0007479467],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003562771,"about_ca_system_score_gemma":0.0003723329,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000547141,"about_ca_topic_score_gemma":0.0006730013,"domain_scores_codex":[0.9997446,0.00003586679,0.00001809015,0.00004228278,0.0001450846,0.00001413095],"domain_scores_gemma":[0.9997893,0.00007962695,0.00001653426,0.00003550343,0.00007177721,0.000007260096],"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":[0.0001311007,0.00004380648,0.0003098201,0.0001922948,0.00004288494,0.0001877787,0.0001198225,0.05067192,0.0618444,0.05578481,0.005433418,0.8252379],"study_design_scores_gemma":[0.00008331527,0.0001664373,0.0007295924,0.00005871573,0.00004453319,0.001246439,0.0000295492,0.8886646,0.03810121,0.02362631,0.04719654,0.00005280399],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003838097,0.0006528574,0.9932159,0.0001186787,0.00007809515,0.00007534005,0.00002958651,0.0004219739,0.001569414],"genre_scores_gemma":[0.04632692,0.0006097186,0.9502777,0.00009548652,0.00006576595,0.0001580296,0.0001074257,0.00004615287,0.002312778],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002093472,"threshold_uncertainty_score":0.007003307,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06435552762618874,"score_gpt":0.3313814025137332,"score_spread":0.2670258748875444,"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."}}