{"id":"W4400406036","doi":"10.36227/techrxiv.172047333.32287318/v1","title":"Quantization of KLT Matrices via GMRF Modeling of Image Blocks for Adaptive Transform Coding","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Advanced Data Compression Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Quantization (signal processing); Coding (social sciences); Computer science; Algorithm; Artificial intelligence; Mathematics; Computer vision; Pattern recognition (psychology); Statistics","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":[0.0003647326,0.0002550579,0.0004846177,0.0003894736,0.00004227535,0.00006479118,0.001303434,0.0001985886,0.000008335162],"category_scores_gemma":[0.0000324154,0.0002243759,0.000200986,0.00028519,0.00004210099,0.0004024524,0.001516975,0.0003008526,0.000001071025],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004630561,"about_ca_system_score_gemma":0.0001187337,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001126273,"about_ca_topic_score_gemma":0.000007222293,"domain_scores_codex":[0.9980379,0.00002701999,0.0007521256,0.0006435211,0.0003426091,0.0001968419],"domain_scores_gemma":[0.9982408,0.0001516442,0.0003694265,0.0007569888,0.0004372519,0.00004392954],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001809968,0.0003123202,0.000005844541,0.007083916,0.0003027485,0.000008092245,0.002968602,0.1645685,0.0774406,0.5526668,0.001828692,0.1926329],"study_design_scores_gemma":[0.00006615024,0.00004740804,1.57275e-7,0.0005203023,0.0000230287,0.000001119674,0.00002610802,0.6336474,0.1502756,0.2152256,0.0000236511,0.0001434433],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0001878484,0.0005030601,0.995957,0.0001315319,0.000249244,0.0009042334,0.0001763181,0.0004706591,0.001420104],"genre_scores_gemma":[0.3935523,0.0001722314,0.6060933,0.000008842055,0.0000209823,0.00006844469,0.00002802233,0.00001737117,0.00003852922],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.469079,"threshold_uncertainty_score":0.9149784,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03718846228233142,"score_gpt":0.3196243083253792,"score_spread":0.2824358460430478,"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."}}