{"id":"W2156684940","doi":"10.1109/cvprw.2008.4563091","title":"Visual cortex on the GPU: Biologically inspired classifier and feature descriptor for rapid recognition","year":2008,"lang":"en","type":"article","venue":"","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University; University of Ottawa","funders":"","keywords":"Computer science; Artificial intelligence; Speedup; Pattern recognition (psychology); Feature extraction; Classifier (UML); Cognitive neuroscience of visual object recognition; Graphics processing unit; Computation; Computer vision; Algorithm; Parallel computing","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":[0.0002533698,0.0004100318,0.0004572675,0.0003972197,0.0002704304,0.000724429,0.00139294,0.0005739068,0.003992692],"category_scores_gemma":[0.0008243851,0.0002531453,0.000328693,0.0006342953,0.0003013992,0.0007723189,0.0005403215,0.0006569974,0.001196245],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008559974,"about_ca_system_score_gemma":0.0007441963,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005892574,"about_ca_topic_score_gemma":0.007389763,"domain_scores_codex":[0.9998451,0.00001742518,0.000006999117,0.00003842391,0.00007110283,0.00002075592],"domain_scores_gemma":[0.9998102,0.00004599724,0.00001454381,0.00005102041,0.00005720837,0.00002113897],"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":[0.0004693969,0.000219839,0.002897505,0.0001989082,0.0001275854,0.0002903976,0.0001364894,0.1175547,0.1778768,0.02483179,0.03396702,0.6414295],"study_design_scores_gemma":[0.00003801555,0.00006883353,0.0006344412,0.000006433646,0.00001520311,0.00008306251,0.00001108884,0.9682253,0.01856735,0.004906539,0.007431793,0.00001195955],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04453945,0.0003977261,0.9389669,0.0004249149,0.0001400696,0.0001089042,0.000297754,0.00984408,0.005280273],"genre_scores_gemma":[0.4060659,0.0002993183,0.5858449,0.0002568555,0.00006035913,0.0002873966,0.0007044681,0.0003426048,0.006138219],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005892574,"threshold_uncertainty_score":0.01335692,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1052165235498125,"score_gpt":0.2648226066804683,"score_spread":0.1596060831306558,"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."}}