TL;DR
It is demonstrated that this approach maintains computational efficiency and exact detection of the highest-scoring subset for small-sized filter sets, and initial results for scaling to larger-sized filter sets are presented.
Rare-event screening in count data often concerns latent upper-tail risk rather than large observed counts alone. We develop a robust Bayesian procedure whose parameter-conditional tail functional is θi(ϑ)=Prϑ(Yirep>τi∣xi)\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \use...
Weingarten functions provide a tool for computing Haar measure matrix integrals of polynomials in the matrix entries. An important property of Weingarten functions is their particularly simple large N limits. In 2017, Benoît Collins and Sho Matsumoto studied when this limit holds for Weingarten functions associated wit...
Standard object detection evaluation relies on hard-threshold metrics (mAP, F1) that collapse continuous localization into binary decisions, penalize near-misses as complete failures, and ignore semantic label hierarchies. We propose CCS, a Continuous Spatial–Semantic Concordance Score integrating two complementary ter...
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