prediction.models com.microsoft.azure.cognitiveservices.vision.customvision.training com.microsoft.azure.cognitiveservices.vision.customvision.training.models com.microsoft.azure.cognitiveservices.vision.faceapi com.microsoft.azure.cognitiveservices.vision.faceapi.models com.microsoft.a...
PERF_COUNT_HW_CACHE_BPU for measuring the branch prediction unit PERF_COUNT_HW_CACHE_NODE (since Linux 3.1) for measuring local memory accesses andperf_hw_cache_op_idis one of: PERF_COUNT_HW_CACHE_OP_READ for read accesses PERF_COUNT_HW_CACHE_OP_WRITE for write accesses PERF_COUNT_HW_CA...
metadatapackage metadatapackageversion metric metricdatalink milestonetype mlfield mlintentutterancesuggestion mlpredictiondefinition mlrecommendationdefinition mobilesecuritypolicy mobilesecurityusermetric mobilesettingsassignment mobsecuritycertpinconfig mobsecuritycertpinevent msgchannellanguagekeywo...
(shown in red) is compared to the prediction in order to calculate residuals. These residuals together with the specified classification threshholds is used to decide which data is considered as event and which is considered background. After the classification, the window is moved by 'n...
prediction.models com.microsoft.azure.cognitiveservices.vision.customvision.training com.microsoft.azure.cognitiveservices.vision.customvision.training.models com.microsoft.azure.cognitiveservices.vision.faceapi com.microsoft.azure.cognitiveservices.vision.faceapi.models com.microsoft.azure.elastic...
Akolkar, H., Ieng, S.-H., Benosman, R., Real-time high speed motion prediction using fast aperture-robust event-driven visual flow, IEEE Trans. Pattern Anal. Machine Intell. (TPAMI), 2020. PDF Pivezhandi, M., Jones, P. H., Zambreno, J., ParaHist: FPGA Implementation of Parallel...
Moreover, using the LTM, it is possible to account for family history information20,24, and it can be used in connection to risk prediction43,44,45. GWAS individual-level data can also be used to build polygenic scores based on efficient penalized regression models46; a future direction of...
Need to go further: using INLA to discover limits and chances of burglaries’ spatiotemporal prediction in heterogeneous environments Article Open access 10 September 2022 Overlapped Bayesian spatio-temporal models to detect crime spots and their possible risk factors based on the Opole Province, Pol...
Spatiotemporal prediction of fine particulate matter during the 2008 northern California wildfires using machine learning Environ. Sci. Technol., 49 (2015), pp. 3887-3896, 10.1021/es505846r View in ScopusGoogle Scholar Reid et al., 2016 Reid C.E., Jerrett M., Tager I.B., Petersen M.L...
Event-based Vision meets Deep Learning on Steering Prediction for Self-driving Cars. Gallego et al., CVPR 2018, A Unifying Contrast Maximization Framework for Event Cameras, with Applications to Motion, Depth and Optical Flow Estimation. Bryner, S., Gallego, G., Rebecq, H., Scaramuzza, D.,...