In the paper,to solve the global optimization problems,we propose a novel parameter-free filled function.Based on the non-parameter filled function,a new filled function algorithm is designed.In the algorithm,the sele...In the paper,to solve the global optimization problems,we propose a novel parameter-free filled function.Based on the non-parameter filled function,a new filled function algorithm is designed.In the algorithm,the selection and adjustment of parameters can be ignored by the characteristic that the filled function is parameter-free.In addition,in the region lower than the current local minimizer of the objective function,the filled function is continuously differentiable which enables any gradient descent method to be used as a local search method in the algorithm.Through numerical experiments by solving two test problems,the effectiveness of the algorithm is verified.展开更多
The study of the identification of Sleeping Beauty literature and the dynamic law of the author’s h index can observe the Sleeping Beauty literature from multiple dimensions and provide important reference value for ...The study of the identification of Sleeping Beauty literature and the dynamic law of the author’s h index can observe the Sleeping Beauty literature from multiple dimensions and provide important reference value for the exploration of the awakening elements of Sleeping Beauty literature from the perspective of author’s influence.展开更多
This paper presents a non-parametric topic model that captures not only the latent topics in text collections, but also how the topics change over space. Unlike other recent work that relies on either Gaussian assumpt...This paper presents a non-parametric topic model that captures not only the latent topics in text collections, but also how the topics change over space. Unlike other recent work that relies on either Gaussian assumptions or discretization of locations, here topics are associated with a distance dependent Chinese Restaurant Process(ddC RP), and for each document, the observed words are influenced by the document's GPS-tag. Our model allows both unbound number and flexible distribution of the geographical variations of the topics' content. We develop a Gibbs sampler for the proposal, and compare it with existing models on a real data set basis.展开更多
三维穿衣人体重建,在计算机图形学和三维视觉领域占有重要地位,广泛应用于多个方向。人体穿衣的多样性和动作的复杂性使得穿衣人体的高保真重建变得极其困难。深度学习技术优化了数据特征提取、隐式几何表示和神经渲染等关键环节,也推...三维穿衣人体重建,在计算机图形学和三维视觉领域占有重要地位,广泛应用于多个方向。人体穿衣的多样性和动作的复杂性使得穿衣人体的高保真重建变得极其困难。深度学习技术优化了数据特征提取、隐式几何表示和神经渲染等关键环节,也推动了高保真穿衣人体重建技术的革命性进步。本文综述了人体重建的基本流程和组成模块,如各类输入数据、人体几何与动作表示、参数化模型以及三维到二维的渲染技术。同时,介绍了公开的穿衣人体数据集,简要回顾了近10年来人体重建算法的快速发展。本文详细探讨了几种主要的重建方法:稠密视角重建、非刚性运动重建(non-rigid structure from motion,NRSFM)、基于像素对齐的隐式几何重建以及生成模型方法。特别是,稠密视角重建能够生成高质量的人体几何,而NRSFM方法减少了对多视角的需求。基于像素对齐的方法重建细节丰富的人体几何,而生成模型方法利用多模态输入信息实现重建。最后总结了现有方法,并展望了未来研究方向,包括实现低成本高保真重建、加速重建过程和增强重建结果的可编辑性,以及在自然环境下进行重建的可能性。本文总结了近年来穿衣人体重建技术的进步,同时指出了未来研究可能集中的方向。展开更多
In this paper, auxiliary function method for global optimization with box constraints is considered. First, a new non-parameter filled function which has the same local minimizers of the objective function is proposed...In this paper, auxiliary function method for global optimization with box constraints is considered. First, a new non-parameter filled function which has the same local minimizers of the objective function is proposed. By the character that having same local minimizers, and these minimizers are all better than the current minimizer of the objective function, it does not need to minimize the objective function except for thefirst iteration in the filled function method. It changes the frame of conventional filled function methods that objective function and filled function are minimized alternately,and can effectively reduce the iterations of the algorithm and accelerate the speed of global optimization. And then the theoretical properties of the filled function are discussed and the corresponding algorithm is established. Finally, numerical experiments are made and comparisons on several test problems are shown which exhibit the feasibility and effectiveness of the algorithm.展开更多
文摘In the paper,to solve the global optimization problems,we propose a novel parameter-free filled function.Based on the non-parameter filled function,a new filled function algorithm is designed.In the algorithm,the selection and adjustment of parameters can be ignored by the characteristic that the filled function is parameter-free.In addition,in the region lower than the current local minimizer of the objective function,the filled function is continuously differentiable which enables any gradient descent method to be used as a local search method in the algorithm.Through numerical experiments by solving two test problems,the effectiveness of the algorithm is verified.
文摘The study of the identification of Sleeping Beauty literature and the dynamic law of the author’s h index can observe the Sleeping Beauty literature from multiple dimensions and provide important reference value for the exploration of the awakening elements of Sleeping Beauty literature from the perspective of author’s influence.
基金Supported by National High Technology Research and Development Program of China(No.2012AA011005)
文摘This paper presents a non-parametric topic model that captures not only the latent topics in text collections, but also how the topics change over space. Unlike other recent work that relies on either Gaussian assumptions or discretization of locations, here topics are associated with a distance dependent Chinese Restaurant Process(ddC RP), and for each document, the observed words are influenced by the document's GPS-tag. Our model allows both unbound number and flexible distribution of the geographical variations of the topics' content. We develop a Gibbs sampler for the proposal, and compare it with existing models on a real data set basis.
文摘三维穿衣人体重建,在计算机图形学和三维视觉领域占有重要地位,广泛应用于多个方向。人体穿衣的多样性和动作的复杂性使得穿衣人体的高保真重建变得极其困难。深度学习技术优化了数据特征提取、隐式几何表示和神经渲染等关键环节,也推动了高保真穿衣人体重建技术的革命性进步。本文综述了人体重建的基本流程和组成模块,如各类输入数据、人体几何与动作表示、参数化模型以及三维到二维的渲染技术。同时,介绍了公开的穿衣人体数据集,简要回顾了近10年来人体重建算法的快速发展。本文详细探讨了几种主要的重建方法:稠密视角重建、非刚性运动重建(non-rigid structure from motion,NRSFM)、基于像素对齐的隐式几何重建以及生成模型方法。特别是,稠密视角重建能够生成高质量的人体几何,而NRSFM方法减少了对多视角的需求。基于像素对齐的方法重建细节丰富的人体几何,而生成模型方法利用多模态输入信息实现重建。最后总结了现有方法,并展望了未来研究方向,包括实现低成本高保真重建、加速重建过程和增强重建结果的可编辑性,以及在自然环境下进行重建的可能性。本文总结了近年来穿衣人体重建技术的进步,同时指出了未来研究可能集中的方向。
基金Supported by National Natural Science Foundation of China (Grant No. 11471102, 11701150,12071112)Basic research projects for key scientific research projects in Henan Province (Grant No. 20ZX001)。
文摘In this paper, auxiliary function method for global optimization with box constraints is considered. First, a new non-parameter filled function which has the same local minimizers of the objective function is proposed. By the character that having same local minimizers, and these minimizers are all better than the current minimizer of the objective function, it does not need to minimize the objective function except for thefirst iteration in the filled function method. It changes the frame of conventional filled function methods that objective function and filled function are minimized alternately,and can effectively reduce the iterations of the algorithm and accelerate the speed of global optimization. And then the theoretical properties of the filled function are discussed and the corresponding algorithm is established. Finally, numerical experiments are made and comparisons on several test problems are shown which exhibit the feasibility and effectiveness of the algorithm.
