{"id":"W2068677177","doi":"10.1109/pcs.2013.6737750","title":"Low bit-rate image coding via local random down-sampling","year":2013,"lang":"en","type":"article","venue":"","topic":"Sparse and Compressive Sensing Techniques","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Upsampling; Computer science; Decimation; Encoder; Artificial intelligence; Computer vision; Algorithm; Codec; Filter (signal processing); Image (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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004904834,0.0004427968,0.0004124203,0.0003934128,0.0001846011,0.000444953,0.0006223468,0.0003956063,0.001163121],"category_scores_gemma":[0.001847831,0.0001857737,0.0002673112,0.0004296979,0.0005243621,0.0007113259,0.0006691043,0.0006426534,0.0004746226],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002627468,"about_ca_system_score_gemma":0.0003443786,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009656022,"about_ca_topic_score_gemma":0.001274009,"domain_scores_codex":[0.9994649,0.0001409917,0.00002076184,0.00006039486,0.0002819809,0.0000309191],"domain_scores_gemma":[0.9993839,0.0002480652,0.00007747321,0.0001517447,0.0001203536,0.00001848006],"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":[0.0005275891,0.0001423577,0.001180052,0.0003533988,0.00006198206,0.0004608387,0.0002681967,0.2227917,0.2926865,0.09141879,0.003302324,0.3868063],"study_design_scores_gemma":[0.00002456938,0.0000819167,0.0003077012,0.00002332309,0.00001589411,0.0003067206,0.00001493072,0.9297308,0.06207159,0.004771158,0.002625083,0.00002626105],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01766303,0.0002806136,0.9796636,0.00009876963,0.00002568258,0.0000385382,0.00002914687,0.0002748976,0.00192577],"genre_scores_gemma":[0.4556982,0.0006940893,0.5391089,0.0001602886,0.00006774707,0.0001307035,0.0001417778,0.00008006518,0.003918246],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001163121,"threshold_uncertainty_score":0.003891051,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01163077676230975,"score_gpt":0.2180561932052231,"score_spread":0.2064254164429133,"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."}}