{"id":"W3005480500","doi":"10.1109/pacrim47961.2019.8985056","title":"FPGA-based Implementation of HOG Algorithm: Techniques and Challenges","year":2019,"lang":"en","type":"article","venue":"","topic":"CCD and CMOS Imaging Sensors","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Field-programmable gate array; Computer science; Implementation; Algorithm; Histogram; Software implementation; Histogram of oriented gradients; Software; Computation; Embedded system; Image (mathematics); Artificial intelligence; Operating system; Software engineering","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":[0.0003210206,0.0004116864,0.0003387864,0.0008253874,0.0001319061,0.0007021085,0.0008373955,0.0004506484,0.002927246],"category_scores_gemma":[0.0006477985,0.0002845974,0.0002205891,0.001078629,0.0001830408,0.001118846,0.0002201771,0.0004335777,0.001475151],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002844469,"about_ca_system_score_gemma":0.0003317138,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008417355,"about_ca_topic_score_gemma":0.0008992343,"domain_scores_codex":[0.9997009,0.00003630704,0.0000218335,0.00004767879,0.0001612514,0.00003204525],"domain_scores_gemma":[0.9997181,0.00007369517,0.00002568134,0.00003787646,0.0001353152,0.000009413418],"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":[0.0001128012,0.00004378554,0.00107503,0.00155777,0.00004863156,0.000233955,0.00005640466,0.005790284,0.02338256,0.00997352,0.009830925,0.9478943],"study_design_scores_gemma":[0.00009763797,0.001082371,0.008192629,0.001572131,0.0002194549,0.006989633,0.0003337559,0.08127246,0.154549,0.0121646,0.7333524,0.0001738549],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0581701,0.2242625,0.6334793,0.002036423,0.001350544,0.0002805681,0.0005731739,0.002547603,0.07729976],"genre_scores_gemma":[0.3714756,0.1699389,0.4172319,0.001409874,0.0009562685,0.0002061226,0.001344245,0.0002522386,0.0371849],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002927246,"threshold_uncertainty_score":0.009792626,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01006778681204204,"score_gpt":0.2389975890840234,"score_spread":0.2289298022719814,"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."}}