Learning high-dimensional correspondence via manifold learning and local approximation

The recent years have witnessed a surge of interests of learning high-dimensional correspondence, which is important for both machine learning and neural computation community. Manifold learning–based researches have been considered as one of the most promising directions. In this paper, by analyzing traditional methods, we summarized a new framework for high-dimensional correspondence learning. Within this framework, we also presented a new approach, Local Approximation Maximum Variance Unfolding. Compared with other machine learning–based methods, it could achieve higher accuracy. Besides, we also introduce how to use the proposed framework and methods in a concrete application, cross-system personalization (CSP). Promising experimental results on image alignment and CSP applications are proposed for demonstration.     

《金银岛》中的"二元对立"现象探讨

<金银岛>是英国新浪漫主义小说家史蒂文森的代表作之一,其中贯穿着人物角色的二元对立性.对该小说中的二元对立现象进行探讨,认为<金银岛>中不仅包含人物道德立场上的善恶对立,而且还存在着人物行为方式上的浪漫与理性的对立.     

Stable local dimensionality reduction approaches

Dimensionality reduction is a big challenge in many areas. A large number of local approaches, stemming from statistics or geometry, have been developed. However, in practice these local approaches are often in lack of robustness, since in contrast to maximum variance unfolding (MVU), which explicitly unfolds the manifold, they merely characterize local geometry structure. Moreover, the eigenproblems that they encounter, are hard to solve. We propose a unified framework that explicitly unfolds the manifold and reformulate local approaches as the semi-definite programs instead of the above-mentioned eigenproblems. Three well-known algorithms, locally linear embedding (LLE), laplacian eigenmaps (LE) and local tangent space alignment (LTSA) are reinterpreted and improved within this framework. Several experiments are presented to demonstrate the potential of our framework and the improvements of these local algorithms.     

支持混合演示场景的移动学习直播系统

移动学习的网络环境中往往无法保证可靠持久的连接,而且在越来越常见的混合演示场景的编码中传统的屏幕编码技术的输出帧率较低而通用视频编码技术的静态图像质量较差。针对上述两个问题提出的支持混合演示场景的移动课程直播系统,利用HTTP-Streaming技术提升系统对不同网络环境的适应能力,并且使用改进的屏幕编码码率控制算法使得系统在有效控制峰值码率的基础上能够支持教师端屏幕可能出现的混合演示场景的编码。实验证明在当前主流配置的手机上课程内容能够流畅播放。     

土工合成材料加筋土力学行为研究应用新进展

对目前加筋土体的室内模型试验研究、国内外土工合成材料加筋结构的理论计算分析方法及工程应用等3个方面所取得的研究进展进行了综述，比较了各种理论分析方法的适用条件和局限性，并提出了研究加筋土体的分析方法和模型试验的一些设想。     

Multiple view semi-supervised dimensionality reduction

Multiple view data, together with some domain knowledge in the form of pairwise constraints, arise in various data mining applications. How to learn a hidden consensus pattern in the low dimensional space is a challenging problem. In this paper, we propose a new method for multiple view semi-supervised dimensionality reduction. The pairwise constraints are used to derive embedding in each view and simultaneously, the linear transformation is introduced to make different embeddings from different pattern spaces comparable. Hence, the consensus pattern can be learned from multiple embeddings of multiple representations. We derive an iterating algorithm to solve the above problem. Some theoretical analyses and out-of-sample extensions are also provided. Promising experiments on various data sets, together with some important discussions, are also presented to demonstrate the effectiveness of the proposed algorithm.     

建筑设计创新的概念浅析

建筑设计创新之所以常常与争议相伴,是因为人们对建筑设计创新概念的理解不同。建筑设计创新的概念既是建筑设计创新研究的基础及重要组成部分,也是设计实践的重要指导原则。面对建筑设计创新的复杂表象,从建筑设计创新的目的、内容、特征入手,运用建筑学、创新学及经济学多视角理论,来研究建筑设计创新的重要相关问题,并由此产生新的建筑设计创新的概念,进一步深入理解建筑设计创新。     

Robustness analysis of O-FDE algorithm for dispersion compensation in coherent fiber optical communications

The overlapping frequency domain equalization(O-FDE) in digital signal processing(DSP) is frequently employed to provide dispersion compensation in long-distance coherent fiber optical communications. However, the change in overlapping symbol length that occurs during the processing of the O-FDE algorithm will typically be influenced by the decision and zero filling of the last subblock, which is harmful to the robustness of the O-FDE algorithm. In this study, with a thorough robustness analysis...     

95氧化铝瓷排蜡工艺常见缺陷及解决措施

简述了陶瓷排蜡工艺及其原理 ,分析了实际生产中常见的缺陷 ,提出了解决排蜡缺陷的相关措施     

超声-微波辅助提取豆粕水溶性膳食纤维及其抗氧化性研究

以豆粕为原料,通过单因素实验研究料液比、超声功率、微波功率及提取时间对豆粕水溶性膳食纤维得率的影响,通过正交实验确定超声波-微波协同提取的最佳工艺条件,并研究豆粕水溶性膳食纤维的抗氧化活性.结果表明,最佳工艺条件为料液比1︰20(g/mL)、超声功率130 W、微波功率500 W和提取时间25 min,在此条件下,得率...