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111.
112.
岑琳 《安徽科技学院学报》2008,22(6)
中国美学植根于特定的社会文化形态,有着自己独特的美学范畴和美学命题,其中"大美"观念便是先秦哲人对于审美形式、内容的独特把握,而崇高是一个典型的西方审美范畴,我们不能轻率地将二者等同起来. 相似文献
113.
中国柑桔数量化学分类研究 总被引：1，自引：0，他引：1
朱立武 《中国科学院研究生院学报》1988,26(5):353-361
本文运用数量分类学的原理和方法，分析了柑桔83个生物型叶片可溶性蛋白质电泳谱
带的相似性。对属、种内的部分生物型的相似性进行了比较, 探讨了金柑属在柑桔分类中的地
位, 对一些起源不明的生物型的可能祖先作了推断。从叶片蛋白质谱带相似性聚类分析树系
图上，可发现柑桔由枳到柑亚类的大致进化趋势, 作者认为，将宜昌橙归入大翼橙类要更加合理。 相似文献
114.
中国种子植物特有属的数量分析 总被引：3，自引：0，他引：3
王荷生 《中国科学院研究生院学报》1985,23(4):241-258
Chinese flora with many endemic elements is highly important in the world’s
flora. According to recent statistics there are about 196 genera of spermatophytes, be-
ing 6.5% of total Chinese genera. These endemic genera comprising 377 species belong
to 68 families, among which the Gesneriaceae (28 genera), Umbelliferae (13), Compo-
sitae (13), Orchidaceae (12) and Labiatae (10) are predominant. The tropical type
containing 24 families and 80 genera is dominant. After it follows the temperate type
with 23 families and 50 genera. There are also 4 families endemic to China, i.e. Gin-
kgoaceae, Bretschneideraceae, Eucommiaceae and Davidiaceae. It shows that genera
endemic to China are obviously related to the tropical and temperate flora in essence.
The endemic monotypic genera (139) and endemic obligotypic genera (48) combin-
ed make up more than 95% of the total number of genera endemic to China. Phylo-
genetically more than half of them are ancient or primitive. The life forms of all ende-
mic genera are also diverse. Herbs, especially perennial herbs, prevail with the propor-
tion of about 62%, and trees and shrubs are the next, with 33%, and the rest are lianas.
Based upon the calculated number of genera endemic to China in each province and
the similarity coefficents between any two provinces, some conclusions may be drawn
as follows:
Yunnan and Sichuan Provinces combined are the distribution centre of genera en-
demic to China and may be their original or differentiation area, because numerous
endemic genera, including various groups, exist in these two provinces. The second is
Guizhou where there are 62 endemic genera. Others form a declining order, south
China, central China and east China. But towards the north China endemic genera de-
crease gradually, and the Qinling Range is an important distributional limit.
The largest simitarity coefficient, over 50%, appears between Shaanxi and Gansu
probably because of the Qinling Range linking these two provinces. But between any
other two provinces it is less than 30% and it is generaly larger between two south pro-
vinces than between two north provinces.
These characteristics mentioned above are correlated with topography and climate,
and they may be resulted from the diversification in geography and climatic influence
for a long time. 相似文献
115.
研究语义Web服务匹配问题,提高匹配效率。传统Web服务基于关键字匹配,灵活性差,查准率和查全率偏低;语义Web服务引入机器可理解的语义信息,提高了信息共享程度及服务检索成功率,但服务响应慢,系统开销大。为了提高Web服务匹配效率,降低系统成本,提出一种基于语义相似度的Web服务混合匹配策略。首先对语义Web服务匹配问题进行分析,然后建立基于语义相似度的Web服务混合匹配模型,最后在西江物流平台中设计了一个基于语义Web服务的混合匹配框架。实际应用效果表明,混合匹配策略实现了语义Web的更好匹配,为客户提供更为快捷、准确的“寻车配货”服务。 相似文献
116.
When learners acquire new words in a second language (L2), their lexical representations and links are initially imprecise. As new, similar words are learned, these representations must become more specific to avoid errors. This study investigated whether contrasting similar words triggers this sharpening process and facilitates learning. In a multiple-choice learning task, 114 adults acquired orthographically and semantically similar L2 (pseudo)words by either contrasting them or not. In Experiment 1, participants contrasted the L2 words, and in Experiment 2 they contrasted words in their first language. Only contrasting orthographically similar L2 words facilitated their acquisition. We conclude that contrasting underspecified representations serves as a learning mechanism that guides attention to relevant lexical information. As such, it enables learners to build more specific representations and is conducive to learning. Possibilities for further research and potential implications for L2 vocabulary instruction are discussed. 相似文献
117.
《Information processing & management》2022,59(3):102919
Similarity search with hashing has become one of the fundamental research topics in computer vision and multimedia. The current researches on semantic-preserving hashing mainly focus on exploring the semantic similarities between pointwise or pairwise samples in the visual space to generate discriminative hash codes. However, such learning schemes fail to explore the intrinsic latent features embedded in the high-dimensional feature space and they are difficult to capture the underlying topological structure of data, yielding low-quality hash codes for image retrieval. In this paper, we propose an ordinal-preserving latent graph hashing (OLGH) method, which derives the objective hash codes from the latent space and preserves the high-order locally topological structure of data into the learned hash codes. Specifically, we conceive a triplet constrained topology-preserving loss to uncover the ordinal-inferred local features in binary representation learning. By virtue of this, the learning system can implicitly capture the high-order similarities among samples during the feature learning process. Moreover, the well-designed latent subspace learning is built to acquire the noise-free latent features based on the sparse constrained supervised learning. As such, the latent under-explored characteristics of data are fully employed in subspace construction. Furthermore, the latent ordinal graph hashing is formulated by jointly exploiting latent space construction and ordinal graph learning. An efficient optimization algorithm is developed to solve the resulting problem to achieve the optimal solution. Extensive experiments conducted on diverse datasets show the effectiveness and superiority of the proposed method when compared to some advanced learning to hash algorithms for fast image retrieval. The source codes of this paper are available at https://github.com/DarrenZZhang/OLGH . 相似文献