浅析本雅明的寓言美学理论

作为法兰克福学派第一代的重要成员，本雅明的文论批评较之该派的“意识形态批评”理论，显示出一种独特的“赎救论的批评”色彩，而他基于早期宗教救世论的寓言美学思想，则是这一批评色彩的显著体现。     

Tucker visual search-based hybrid tracking model and Fractional Kohonen Self-Organizing Map for anomaly localization and detection in surveillance videos

Anomaly detection (AD) in video is a challenging task employed in the intelligent video surveillance applications. This paper presents a technique for localizing and detecting anomalies in surveillance videos by proposing hybrid tracking model and Fractional Kohonen Self-Organizing Map (FKSOM). At first, the objects in the initial frames are detected by extracting the background and comparing with the succeeding frames. Then, a tracking model is developed to track the objects in the frame. Further, the features, such as object shape, speed, energy, correlation, and homogeneity, are extracted in the feature extraction process. Finally, the proposed FKSOM algorithm performs AD by identifying anomalous and normal events in the frame. The performance of the proposed technique is evaluated using the metrics, such as Multiple Object Tracking Precision (MOTP), accuracy, sensitivity, and specificity, where it obtains MOTP of 0.9895 with an average accuracy of 0.9339, the sensitivity of 0.9288 and specificity of 1.     

A General BRDF Representation Based on Tensor Decomposition

Generating photo‐realistic images through Monte Carlo rendering requires efficient representation of light–surface interaction and techniques for importance sampling. Various models with good representation abilities have been developed but only a few of them have their importance sampling procedure. In this paper, we propose a method which provides a good bidirectional reflectance distribution function (BRDF) representation and efficient importance sampling procedure. Our method is based on representing BRDF as a function of tensor products. Four‐dimensional measured BRDF tensor data are factorized using Tucker decomposition. A large data set is used for comparing the proposed BRDF model with a number of well‐known BRDF models. It is shown that the underlying model provides good approximation to BRDFs.     

基于超图正则化非负Tucker分解的图像聚类算法

针对非负张量分解应用于图像聚类时忽略了高维数据内部几何结构的问题,在经典的张量非负Tucker分解的基础上,添加超图正则项以尽可能多地保留原始数据的内在几何结构信息,提出一种基于超图正则化非负Tucker分解模型HGNTD。通过构造超图刻画数据内部样本间的高阶关系,提高几何结构描述的准确性,针对超图正则化非负张量分解模型,基于交替非负最小二乘法,设计快速有效的超图正则化非负Tucker分解算法求解所给模型,证明算法在非负的条件下是收敛的,最终将算法应用于图像聚类。在Yale和COIL两个常用公开数据集上的实验结果表明,相对于k-means、非负矩阵分解、图正则化非负矩阵分解、非负Tucker分解和图正则化非负Tucker分解等算法,超图正则化非负Tucker分解算法聚类准确度提升了8.6%~11.4%,归一化互信息提升了2.0%~7.5%,具有更好的聚类效果。     

对本雅明《机械复制时代的艺术作品》的几点解析

本雅明是一个典型的西方马克思主义思想家,也是法兰克富学派著名文艺理论家.《机械复制时代的艺术作品》是本雅明的代表著作,堪称体现其技术主义理论的经典作品.此文涉及到的一些概念含义模糊难懂,我就文中的"灵韵"、复制技术与艺术、艺术生产理论三个方面进行解析.     

张量补全算法及其在人脸识别中的应用

数据丢失问题通常可以归结为矩阵补全问题,而矩阵补全是继压缩感知理论之后的又一种重要的信号获取方法。在实际应用中,数据样例往往具有多线性性,即数据集可以表示成高阶张量。本文研究了张量补全问题及其在人脸识别中的应用。基于张量的低维Tucker分解,提出张量补全的迭代算法,并且证明在算法的迭代过程中,估计张量与其Tucker逼近张量的距离是单调递减的。实验结果表明张量补全算法在补全张量和人脸识别上的可行性与有效性。     

Responsive Systems|Appliance Architectures

Branden Hookway and Chris Perry introduce the Responsive Systems Group (RSG), a newly formed design research collective at Cornell University's School of Architecture, Art, and Planning. Highly interdisciplinary in nature, the work here addresses questions of collective intelligence at a number of scales. In terms of practice, collaborative, group-based work is emphasised, with both the students as well as the instructors working in teams of three (Perry and Hookway are co-directors of the Responsive Systems Group along with Ezra Ardolino). The second scale addresses the technologies and methodologies of design itself, exploring problems of ‘responsivity’ in the context of artificial intelligence and the emerging fields of robotic and sensory interaction design. Finally, and by extension, the issue of scale itself becomes a site of inquiry as the RSG's work focuses less on ‘architecture’ and more on ‘design’, implicitly if not explicitly loosening general notions of disciplinarity as a means of revealing new sites for mixture and innovation. Copyright © 2006 John Wiley & Sons, Ltd.     

Galerkin finite element solution for Benjamin–Bona–Mahony–Burgers equation with cubic B-splines

In this article, we study solitary-wave solutions of the nonlinear Benjamin–Bona–Mahony–Burgers(BBM–Burgers) equation based on a lumped Galerkin technique using cubic B- spline finite elements for the spatial approximation. The existence and uniqueness of solutions of the Galerkin version of the solutions have been established. An accuracy analysis of the Galerkin finite element scheme for the spatial approximation has been well studied. The proposed scheme is carried out for four test problems including dispersion of single solitary wave, interaction of two, three solitary waves and development of an undular bore. Then we propose a full discrete scheme for the resulting IVP. Von Neumann theory is used to establish stability analysis of the full discrete numerical algorithm. To display applicability and durableness of the new scheme, error norms $L_2$, $L_{\infty }$ and three invariants $I_1,I_2$ and $I_3$ are computed and the acquired results are demonstrated both numerically and graphically. The obtained results specify that our new scheme ensures an apparent and an operative mathematical instrument for solving nonlinear evolution equation.