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On a conceptual point of view, the fact that photo demonstrations trigger mate copying implies that observer females do interpret them as sexual intercourses and extract social information about male mating success from them. We also found that the preference for an artificially coloured phenotype can...
aThere are no requirements in terms of the work that the images should represent - it should be recent work but candidates may also wish to include past work that they feel is pertinent to the application, or reveals particular development. 没有要求根据图象应该代表的工作-它应该是最近的工作,但...
thatthey will grow as strong and energetic as a dragon. 答案(1)考查现在分词。句意:渐渐地,它演变成一个代表中华民族精神的形象。分析句子结构可知represent与逻辑主语image构成主动关系,故用现在分词作后置定语。故填representing。(2)考查介词。句意:据报道,在《马可波罗游记》中,long第一次被翻...
of response which might include back button autofocus, Auto ISO, Easy Exposure Compensation, frame rate and playback options along with other best practices all designed to simplify your process and build your muscle memory so the technical fades to the background and you increase you success ...
aAs you see these images can be categorize to noisy images that mentioned earlier. The success rate of system was 95.71%.It is important to notice that in most previous works for example [17,19-20] they used rich databases and for everyone at least 10 images are in database, although th...
We perform more experiments to demonstrate that SISH is scalable to thousands of slides (see Speed and interpretability). Since the ranking algorithm plays a crucial role in the success of SISH, we conduct an ablation study to validate all steps in the ranking module and show that SISH ...
The following table lists the RMSE of all 11 dermatologists. This meant that RMSE=0.517 was set as the performance figure that the CNN model had to beat to be considered a success. Performance of Our Deep Learning Models Figure 5.1 shows the scatter plot of real consensus ...
(CNNs), have been applied with great recent success on the related task of natural image classification, under the complementary strategy of learning better feature spaces for complex naturalistic stimuli44. Although it is unclear to what extent CNN classification models resemble human categorization ...
Although DL has achieved some success in computer-aided COVID-19 diagnosis, it still faces challenges, e.g., shortage of public CXR images, lack of interpretability and generalization ability [27], [50], [34]. Particularly, the performance of DL models depends heavily on the amount of train...