{"id":"W1984211116","doi":"10.1142/s0218126602000392","title":"A NEW EDGE PRESERVING BINARY IMAGES RESIZING TECHNIQUE","year":2002,"lang":"en","type":"article","venue":"Journal of Circuits Systems and Computers","topic":"Visual Attention and Saliency Detection","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Enhanced Data Rates for GSM Evolution; Coding (social sciences); Artificial intelligence; Interpolation (computer graphics); Binary number; Resizing; Edge detection; Computer graphics; Graphics; Distortion (music); Computer vision; Algorithm; Image (mathematics); Pattern recognition (psychology); Mathematics; Image processing; Computer graphics (images); Bandwidth (computing)","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":[0.0001380865,0.0004003093,0.0004054572,0.0008085939,0.0002204726,0.0003265369,0.000503707,0.0003584185,0.00280205],"category_scores_gemma":[0.000528941,0.0001956768,0.0003093451,0.0004548205,0.000302597,0.0007157861,0.0003167258,0.0004233527,0.0008874104],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001399497,"about_ca_system_score_gemma":0.0001743155,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000291349,"about_ca_topic_score_gemma":0.0004272847,"domain_scores_codex":[0.9998333,0.00001831242,0.00000843728,0.00003040659,0.00009422627,0.00001513971],"domain_scores_gemma":[0.9997943,0.00004692474,0.00002892822,0.00005822855,0.00005594939,0.00001566044],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001792016,0.00007199514,0.0002101208,0.0001717568,0.00002144144,0.000242896,0.00008141159,0.005292514,0.5373984,0.01024648,0.002614584,0.4434691],"study_design_scores_gemma":[0.00008294466,0.000725503,0.002690045,0.00003905214,0.000111093,0.004545019,0.00006392782,0.2870144,0.6365632,0.006765944,0.06130244,0.00009642306],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03069814,0.0006454531,0.9624771,0.0001233382,0.0001213676,0.000102133,0.00006685513,0.001201949,0.004563683],"genre_scores_gemma":[0.1775234,0.0006913143,0.8128483,0.0001750163,0.0001320231,0.0001048551,0.0001685252,0.0001557172,0.008200863],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.00280205,"threshold_uncertainty_score":0.009373784,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02853860626691593,"score_gpt":0.2485369285094891,"score_spread":0.2199983222425731,"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."}}