Jul 22, 2016Download as PPTX, PDF7 likes4,840 viewsAI-enhanced description CVPR2016 was held in Las Vegas from June 26-July 1. The author attended and reported on trends in papers presented. Deep learning and CNNs were widely used for tasks like object detection, segmentation, pose estimation and re-identification. Fast/Faster R-CNN models were common for object detection. CNNs combined with CRFs
Description Compute the nearest positive definite matrix to an approximate one, typically a correlation or variance-covariance matrix. Usage nearPD(x, corr = FALSE, keepDiag = FALSE, base.matrix = FALSE, do2eigen = TRUE, doSym = FALSE, doDykstra = TRUE, only.values = FALSE, ensureSymmetry = !isSymmetric(x), eig.tol = 1e-06, conv.tol = 1e-07, posd.tol = 1e-08, maxit = 100, conv.norm.type = "I", tra
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