{"id":"W2774745445","doi":"10.1109/pacrim.2017.8121880","title":"A novel edge-preserving mesh-based method for image scaling","year":2017,"lang":"en","type":"article","venue":"","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Classification of discontinuities; Delaunay triangulation; Image (mathematics); Image scaling; Bilinear interpolation; Bicubic interpolation; Computer vision; Artificial intelligence; Computer science; Scaling; Enhanced Data Rates for GSM Evolution; Function (biology); Image gradient; Mathematics; Image processing; Image texture; Algorithm; Geometry; Multivariate interpolation","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":[0.0002510819,0.0004143963,0.0004296078,0.0006964367,0.0003285627,0.0005502926,0.001014882,0.0005541014,0.003239275],"category_scores_gemma":[0.0009487116,0.000275107,0.000543849,0.0005711025,0.0003720204,0.0007768924,0.0008048567,0.0007427075,0.0008267149],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002720259,"about_ca_system_score_gemma":0.0003650862,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008295722,"about_ca_topic_score_gemma":0.0008650792,"domain_scores_codex":[0.9997318,0.00003654564,0.00001103959,0.00004075503,0.0001664641,0.00001325097],"domain_scores_gemma":[0.9997559,0.00007582233,0.00002037939,0.00005908293,0.00006671365,0.00002208838],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001324062,0.0001111176,0.0006361129,0.00031438,0.00006718407,0.00019666,0.0002797169,0.1003663,0.164321,0.04534901,0.005143943,0.6830823],"study_design_scores_gemma":[0.00002147764,0.00007086712,0.0002922629,0.00001620296,0.00001686104,0.0002884835,0.00002928735,0.9538125,0.01973815,0.006829525,0.0188596,0.00002485339],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002834369,0.00007366965,0.9958697,0.00003389361,0.00003746511,0.00002186263,0.00001334105,0.0002584306,0.0008572619],"genre_scores_gemma":[0.07290798,0.0002507593,0.9229612,0.00006872522,0.00005552825,0.0001077089,0.00007590536,0.0002360933,0.003336092],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003239275,"threshold_uncertainty_score":0.01083642,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0570996628400802,"score_gpt":0.3889573660425972,"score_spread":0.331857703202517,"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."}}