{"id":"W2113386385","doi":"10.1109/icassp.2004.1327055","title":"Computer vision signal processing on graphics processing units","year":2004,"lang":"en","type":"article","venue":"","topic":"Advanced Vision and Imaging","field":"Computer Science","cited_by":91,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Computer graphics; OpenGL; Real-time computer graphics; Computer graphics (images); Graphics; General-purpose computing on graphics processing units; Image processing; Graphics hardware; Computer hardware; Computer vision; 3D computer graphics; Artificial intelligence; Visualization","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":[0.00014967,0.0001686946,0.000129693,0.0001897334,0.0003473209,0.0004116241,0.0005202761,0.00004324159,0.000007541879],"category_scores_gemma":[0.000007477725,0.0001331836,0.00003201753,0.001083256,0.00005390483,0.001375732,0.0001780509,0.0002119215,0.00004613018],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004219716,"about_ca_system_score_gemma":0.0001473054,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003790366,"about_ca_topic_score_gemma":0.000001283123,"domain_scores_codex":[0.998637,0.00002159492,0.0002074569,0.0004438056,0.0003820174,0.000308086],"domain_scores_gemma":[0.9993238,0.00002434192,0.00008376085,0.0002387192,0.0002100336,0.0001193251],"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":[0.000005096027,0.00007141621,0.00001723434,0.00001896082,0.000001249743,0.00001921384,0.000312412,0.002970417,0.0005443015,0.02347323,0.0001167118,0.9724498],"study_design_scores_gemma":[0.0007899217,0.0003241013,0.0005224251,0.0004804848,0.000002397923,0.00004827966,0.00003509673,0.9741359,0.004750522,0.01398937,0.004555032,0.0003664853],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001880776,0.00007660656,0.9932394,0.00144551,0.00008927356,0.00009127682,1.697932e-7,0.0004353703,0.002741614],"genre_scores_gemma":[0.6711102,0.000004569094,0.3251901,0.003537392,0.00007134781,0.000002149655,0.00000109968,0.00001131094,0.00007190833],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9720833,"threshold_uncertainty_score":0.5431069,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02344818903911319,"score_gpt":0.2961373128951718,"score_spread":0.2726891238560586,"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."}}