10,205 research outputs found
Generating Text Sequence Images for Recognition
Recently, methods based on deep learning have dominated the field of text
recognition. With a large number of training data, most of them can achieve the
state-of-the-art performances. However, it is hard to harvest and label
sufficient text sequence images from the real scenes. To mitigate this issue,
several methods to synthesize text sequence images were proposed, yet they
usually need complicated preceding or follow-up steps. In this work, we present
a method which is able to generate infinite training data without any auxiliary
pre/post-process. We tackle the generation task as an image-to-image
translation one and utilize conditional adversarial networks to produce
realistic text sequence images in the light of the semantic ones. Some
evaluation metrics are involved to assess our method and the results
demonstrate that the caliber of the data is satisfactory. The code and dataset
will be publicly available soon
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The Application of the Ant Colony Decision Rule Algorithm on Distributed Data Mining
Based on the deep research of Ant Colony Algorithm, an Ant Colony decision rule Algorithm is proposed for rules mining based on the thought of ant colony and rule mining of decision tree. Then the algorithm is compared with C4.5 and applied on the rules mining and the results are showed by simulation
A Variation Study on the Thematic Evolution of Chinese and Western Ocean Literature from the Perspective of Communication and Variation Theory
In the communication between Chinese and Western ocean literature, variation caused by factors such as cultural traits, conventional atmosphere or translators occurs ineluctably. By teasing out typical themes in Chinese and Western ocean literature, this article adopts the theory of variation study of comparative literature to discuss how themes change and how they are represented when Western ocean literature spreads to China. It also explores the cultural traditions, tastes and aesthetic preferences behind analysis of the cause of variation. On this account, we can reveal the mutual influence, mutual loan and their exchange of each other’s needs.Debido a la influencia de factores distintos como los rasgos culturales chinos y occidentales, costumbres y traductores, la variación inevitablemente tiene lugar en el proceso de comunicación e intercambio de la literatura oceánica entre diferentes regiones en China y Occidente. Basado en el resumen de los temas representativos de la literatura oceánica china y occidental, en este artÃculo se recurre a la teorÃa de la variación de la literatura comparada para discutir el proceso de la variación y la manifestación del tema en el proceso de la transmisión de la literatura oceánica occidental en China. Además, se analizan las causas de la variación desde aspectos como las tradiciones culturales, los hábitos estéticos y los intereses de apreciación con el objeto de revelar los efectos, referencias e intercambios mutuos de la literatura oceánica china y occidental./n
Northwestern Pacific typhoon intensity controlled by changes in ocean temperatures.
Dominant climatic factors controlling the lifetime peak intensity of typhoons are determined from six decades of Pacific typhoon data. We find that upper ocean temperatures in the low-latitude northwestern Pacific (LLNWP) and sea surface temperatures in the central equatorial Pacific control the seasonal average lifetime peak intensity by setting the rate and duration of typhoon intensification, respectively. An anomalously strong LLNWP upper ocean warming has favored increased intensification rates and led to unprecedentedly high average typhoon intensity during the recent global warming hiatus period, despite a reduction in intensification duration tied to the central equatorial Pacific surface cooling. Continued LLNWP upper ocean warming as predicted under a moderate [that is, Representative Concentration Pathway (RCP) 4.5] climate change scenario is expected to further increase the average typhoon intensity by an additional 14% by 2100
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