多谢!sigma<0有人叫它weakly convex 2019-05-19 回复喜欢 Taoist 假设目标函数$f$是$R^d$上面的凸函数,并且$\beta$-光滑,当步长$\eta=\cfrac{1}{\beta}$,如何证明梯度下降算法具有次线性收敛速:$f(w_T)-f(w^*) \leq \cfrac{2\beta\Vert w_0 - w^* \Ver
(Weakly) Induced L-convex spaceGalois correspondenceCorefiectiveIn this paper, several types ofL-convex spaces are introduced, including stratifiedL-convex spaces, convex-generatedL-convex spaces, weakly inducedL-convex spaces and inducedL-convex spaces. Their relations are discussed category-...
Convex Combination Consistency between Neighbors for Weakly-supervised Action Localization 弱监督动作定位中相邻凸组合一致性 0.前言 相关资料: arxiv github 论文解读 论文基本信息: 领域:弱监督时序动作定位 发表时间:arxiv 2022(2022.5.1) 摘要 在弱监督时间动作定位(WS-TAL)中,这些方法通常遵循“分类...
Next we have a splitting of Liapunov''s theorem in any dimension into convex ranges and weakly compact ranges, the latter for non-atomic measures. This approach is related to a 1978 result by K.M. Garg and the author. We observe the closed linear span of the Rademacher functions to be ...
A Banach space X is said to have the Schur property if every weakly convergent sequence in X is norm convergent. It follows from Rosenthal’s l1-theorem that X has the Schur property if and only if there exists a bounded sequence (xn)n≥1 satisfying ‖xn−xm‖≥δ for some δ>0 an...
Weakly- and Semi-Supervised Learning of a Deep Convolutional Network for Semantic Image Segmentation 1 code implementation • ICCV 2015 • George Papandreou, Liang-Chieh Chen, Kevin P. Murphy, Alan L. Yuille Deep convolutional neural networks (DCNNs) trained on a large number of images with...
for someand a small, we may find a closed differential formv, such thatis again small, andvis, in addition, inwith a bound on itsnorm depending only onNandL. In particular, the sethas measure at mostAs an application of this theorem, we are able to prove that the-p-quasiconvex hull...
identity. We derive two suitable formulas for the coefficients of the diagonal matrix and show that this boosts performance on real-life image registration problems, which are highly non-convex inverse problems. The new method converges globally and linearly on non-convex problems under mild ...
3) Generalized λ-L-diagonally quasi-convex(quasi-concave) 广义λ-L-对角拟凸(凹)4) generalized set-valued equilibrium p roblem 广义集值广义对角拟凸5) Generalized γ-L-diagonally quasiconcave 广义γ-L-对角拟凹6) Generalized FC-diagonally weakly quasi-convex 广义FC-对角弱拟凸...
3) Generalized λ-L-diagonally quasi-convex(quasi-concave) 广义λ-L-对角拟凸(凹)4) generalized set-valued equilibrium p roblem 广义集值广义对角拟凸5) Generalized γ-L-diagonally quasiconcave 广义γ-L-对角拟凹6) Generalized FC-diagonally weakly quasi-convex 广义FC-对角弱拟凸...