{"id":"W107089405","doi":"","title":"A Unified Framework for Image Set Compression.","year":2006,"lang":"en","type":"article","venue":"IPCV","topic":"Advanced Data Compression Techniques","field":"Computer Science","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; University of Lethbridge","funders":"","keywords":"Lossless compression; Lossy compression; Image compression; Redundancy (engineering); Data compression; Computer science; Algorithm; Spanning tree; Compression (physics); Image (mathematics); Texture compression; Set (abstract data type); Graph; Data compression ratio; Mathematics; Theoretical computer science; Artificial intelligence; Image processing; Discrete mathematics","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":[0.000120192,0.0001382212,0.0001580901,0.00007470658,0.0001448297,0.0001256896,0.001138093,0.00008865469,0.00002373818],"category_scores_gemma":[0.00007770813,0.0001194494,0.00006116458,0.0002192602,0.00004612635,0.0005682443,0.0004200877,0.0001461501,0.00003750399],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002286195,"about_ca_system_score_gemma":0.00002449885,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002049807,"about_ca_topic_score_gemma":0.000001532484,"domain_scores_codex":[0.9988899,0.00003605843,0.000214237,0.0003884581,0.0001930611,0.000278234],"domain_scores_gemma":[0.9984779,0.0003126898,0.0001067218,0.0009557893,0.00008619123,0.00006073756],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001289038,0.00007384357,0.00003913158,0.00001944912,0.000003980585,0.00001506617,0.00004880605,0.00004643521,0.01263688,0.8237638,0.1448912,0.01844848],"study_design_scores_gemma":[0.000224693,0.00004166054,0.0003056201,0.00007447175,0.000002489618,0.000007686348,0.000005179811,0.01037205,0.07146791,0.7628372,0.1544447,0.0002163247],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0003701421,0.0001096492,0.9959226,0.0006901816,0.0002130023,0.0002959392,0.00004874881,0.0008580198,0.001491769],"genre_scores_gemma":[0.05215551,0.000004676297,0.9468485,0.0003735032,0.0001243869,0.00009222003,0.00003286431,0.00001474373,0.0003536421],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.06092666,"threshold_uncertainty_score":0.4871005,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02221753158074233,"score_gpt":0.3216749199940123,"score_spread":0.29945738841327,"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."}}