Unsupervised contrastive learning has recently become increasingly popular due to its amazing performance without the need for costly annotations. However, indiscriminate sampling of negative pairs is accompanied by uniformity-tolerance dilemma, which especially serious in node-level graph smoothing property convolutional operators. Previous mining strategies that either overly emphasize hard n...

We investigate attractor neural networks with a modular structure, where a local winner-takes-all rule acts within the modules (called hypercolumns). We make a signal-to-noise analysis of storage capacity and noise tolerance, and compare the results with those from simulations. Introducing local winner-takes-all dynamics improves storage capacity and noise tolerance, while the optimal size of t...

in order to select and release of bastan a new cultivar of foxtail millet, after preliminary selections in small millet germplasm a research was carried during 1997-2003 in karaj, golestan and dezful. during these years production potential of 10 foxtail millet genotypes was determined in a randomized complete block design for 3 years. the different characteristics include, leaf size, stem diam...

A local convergence analysis of Inexact Newton’s method with relative residual error tolerance for finding a singularity of a differentiable vector field defined on a complete Riemannian manifold, based on majorant principle, is presented in this paper. We prove that under local assumptions, the inexact Newton method with a fixed relative residual error tolerance converges Q -linearly to a sing...

A minimum expected gamma (γ) pass rate for VMAT plan verification using ArcCHECK was established based on the RTTQA, TG119 test cases and 10 clinical plans with varying levels of complexity. The impact of the ‘Measurement Uncertainty’ parameter as available in the ArcCHECK software on γ pass rate was studied for both global and local γ analysis. Our results show that excluding measurement uncer...