{"id":"W2367972984","doi":"","title":"Optimization Methods of Digital Image Process Algorithm on VLIW DSP","year":2008,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Image and Video Stabilization","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Very long instruction word; Computer science; Digital signal processing; Digital image processing; Image processing; Digital signal processor; Process (computing); Computer hardware; Algorithm; Embedded system; Image (mathematics); Artificial intelligence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000118159,0.0001512805,0.0001709123,0.0001612516,0.0001914313,0.0001076083,0.0006831297,0.00005678422,0.000009684237],"category_scores_gemma":[0.000002953785,0.0001496957,0.00007243069,0.0007673013,0.00008522403,0.0007810846,0.0001392283,0.00008853733,0.00003686576],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003031299,"about_ca_system_score_gemma":0.00007218392,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002436807,"about_ca_topic_score_gemma":7.841054e-8,"domain_scores_codex":[0.9988406,0.00004183386,0.0003295526,0.0004268815,0.0001723081,0.0001887644],"domain_scores_gemma":[0.9988686,0.00009162049,0.0001545035,0.0004970615,0.0003245906,0.00006366728],"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":[0.000004418169,0.0006941552,0.0001715627,0.00006085361,0.00003242257,0.000003598761,0.001711521,0.01541714,0.004864008,0.005560583,0.001370889,0.9701089],"study_design_scores_gemma":[0.0006321982,0.0001359735,0.0003431785,0.0000252731,0.00001457565,0.0001012407,0.00002552792,0.8657743,0.1023131,0.004998154,0.02515964,0.0004767887],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0001818502,0.00003762644,0.997672,0.0002190774,0.00002027794,0.0005168042,0.00001383494,0.0001878232,0.001150685],"genre_scores_gemma":[0.005168329,0.00002153322,0.9942678,0.0001657277,0.00007801052,0.0001625821,0.00005341994,0.00001545632,0.00006709322],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9696321,"threshold_uncertainty_score":0.6104412,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01585298907810469,"score_gpt":0.3110503352018706,"score_spread":0.295197346123766,"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."}}