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学术圈,华人容易不买华人的账

已有 1674 次阅读 2022-2-23 14:15 |个人分类:科研笔记|系统分类:观点评述

虽然这几年气势上看似华人崛起了,但是在学术圈仍然存在严重的崇洋媚外和民族不团结文化不自信(或者说自卑)。表现有三:


  1. 华人提出一个新的理论方法或者框架模型,在某些人眼中总不如Willams、Garcias等洋文署名的显得高大上,因此除非这个东西真的特别特别好,否则他们宁愿是跟洋人屁股后面,也不愿华人之间众人拾柴火焰高,谈何抱团取暖,只能一盘散沙。


  2. 华人提出一个新的理论方法或者框架模型(比如arithmetic average fusion),如果实在好用而绕不过去,华人自己对其尊重程度还不如外国人,偷桃子往往是自己人:换个别的名字来顶替有欺世盗名之嫌,或者用同样的名字AA搞别的东西,两种偷桃子的行为都混淆是非,使得本就艰难的华人好不容易搞个原创被自己人大打折扣!出现一个常见又讽刺的现象:华人最看不起华人自己,自掘坟墓....


  3. 华人不抱团反而容易相互踩踏除了源于民族的不自信和崇洋媚外之外,也是现代文明和科研素养不高的体现。不尊重原创的人如何创造原创呐?有人没做过原创工作从来不知道原创有多难,自己趟不过去的路别人替他趟过去了反而轻蔑一笑觉得简单。时间久了就形成:原创顶个球用啊,还不如跟风混的风生水起,塑造不知羞愧反而后来者居上优越感满满的盗版文化:以偷/仿为美。


时间久了,一盘散沙、自掘坟墓、以偷为美的结果就是损人不利己!


--------------------附录---------------

Some Statistic and Information-theoretic Results 

on Arithmetic Average Density Fusion


Tiancheng LiYue XinYan SongEnbin SongHongqi Fan

Finite mixture such as the Gaussian mixture is a flexible and powerful probabilistic modeling tool for representing the multimodal distribution widely involved in many estimation and learning problems. The core of it is representing the target distribution by the arithmetic average (AA) of a finite number of sub-distributions which constitute the mixture. The AA fusion has demonstrated compelling performance for both single-sensor and multi-sensor estimator design. In this paper, some statistic and information-theoretic results are given on the AA fusion approach, including its covariance consistency, mean square error, mode-preservation capacity, mixture information divergence and principles for fusing/mixing weight design. In particular, based on the concept of conservative fusion, the relationship of the AA fusion with the existing conservative fusion approaches such as covariance union and covariance intersection is exposed. The best fit of the mixture is formulated as a max-min problem, proving the sub-optimality of the AA fusion. Linear Gaussian models are considered for illustration and simulation comparison.
Comments:11 pages, 11 figures, 2 tables
Subjects:Statistics Theory (math.ST); Information Theory (cs.IT)
Cite as:arXiv:2110.01440 [math.ST]

(or arXiv:2110.01440v3 [math.ST] for this version)

https://doi.org/10.48550/arXiv.2110.01440

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