標(biāo)題: Titlebook: Image and Graphics; 12th International C Huchuan Lu,Wanli Ouyang,Min Xu Conference proceedings 2023 The Editor(s) (if applicable) and The A [打印本頁(yè)] 作者: 分期 時(shí)間: 2025-3-21 16:42
書目名稱Image and Graphics影響因子(影響力)
書目名稱Image and Graphics影響因子(影響力)學(xué)科排名
書目名稱Image and Graphics網(wǎng)絡(luò)公開度
書目名稱Image and Graphics網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Image and Graphics被引頻次
書目名稱Image and Graphics被引頻次學(xué)科排名
書目名稱Image and Graphics年度引用
書目名稱Image and Graphics年度引用學(xué)科排名
書目名稱Image and Graphics讀者反饋
書目名稱Image and Graphics讀者反饋學(xué)科排名
作者: GUISE 時(shí)間: 2025-3-21 21:05 作者: 假裝是你 時(shí)間: 2025-3-22 01:36
three verbs of communication (., . and .) were chosen as the research objects. The Corpus of China English (CCE) was built with 13.9 million tokens. All the colligational patterns of the three verbs were extracted from the CCE by the tool Colligator, and analyzed in comparison with those from the Br作者: 高談闊論 時(shí)間: 2025-3-22 07:44
basic unit, or directly use the internal structure of words. However, these models still neglect the rich relevant derivative meanings in the internal structure of Chinese characters. Based on our observations, the relevant derivative meanings of the main-components in Chinese characters are very h作者: INCH 時(shí)間: 2025-3-22 10:29
Chengfang Zhang,Ziliang Feng,Chao Zhang,Kai Yiet user interests and make personalized recommendations. However, massive news articles are generated everyday, and it too expensive and time-consuming to manually categorize all news. The news bodies usually convey the detailed information of news, and the news titles usually contain summarized and作者: 急性 時(shí)間: 2025-3-22 15:58
Jingxue Huang,Xiaosong Li,Haishu Tan,Xiaoqi Chengthree verbs of communication (., . and .) were chosen as the research objects. The Corpus of China English (CCE) was built with 13.9 million tokens. All the colligational patterns of the three verbs were extracted from the CCE by the tool Colligator, and analyzed in comparison with those from the Br作者: ASSET 時(shí)間: 2025-3-22 18:04 作者: 柱廊 時(shí)間: 2025-3-23 00:24 作者: 冷淡一切 時(shí)間: 2025-3-23 01:49
Jingrui Xu,Jianpo Su,Kai Gao,Zhipeng Fan,Ming Zhang,Dewen Hu,Ling-Li Zengon classification. Most previous works on few-shot relation classification are based on learning-to-match paradigms, which focus on learning an effective universal matcher between the query and . target class prototype based on inner-class support sets. However, the learning-to-match paradigm focuse作者: THROB 時(shí)間: 2025-3-23 05:41
Dong Huang,XiaoShuo Hao,Hua Yang,Yao Zheng,YueFei Feng,Yang Liures of the microblog itself, without combining the semantics of emotion categories for modeling. Emotion classification of microblogs is a process of reading the content of microblogs and combining the semantics of emotion categories to understand whether it contains a certain emotion. Inspired by t作者: 量被毀壞 時(shí)間: 2025-3-23 11:50 作者: 含糊 時(shí)間: 2025-3-23 14:50 作者: 鞏固 時(shí)間: 2025-3-23 21:27
s is expensive. Existing models address this issue by code-switched data augmentation or intermediate fine-tuning of multilingual pre-trained models. However, these models can only perform implicit alignment across languages. In this paper, we propose a novel model named .ontrastive .earning for .ro作者: tackle 時(shí)間: 2025-3-23 23:31
Minhao Xue,Li Wang,Jie Shen,Kangning Wang,Wanning Wu,Long Fu has focused on predicting entity information after fusing visual and text features. However, pre-training language models have already acquired vast amounts of knowledge during their pre-training process. To leverage this knowledge, we propose a prompt network for MNER tasks (P-MNER). To minimize t作者: 巫婆 時(shí)間: 2025-3-24 03:07 作者: 得罪人 時(shí)間: 2025-3-24 07:51 作者: Decline 時(shí)間: 2025-3-24 13:18
Graph Network (GN) and Question Decomposition (QD) are two common approaches at present. The former uses the “black-box” reasoning process to capture the potential relationship between entities and sentences, thus achieving good performance. At the same time, the latter provides a clear reasoning lo作者: conscience 時(shí)間: 2025-3-24 15:46
Xingjian Zhang,Shaohuai Yu,Xinghua Li,Shuang Li,Zhenyu Tanfirst. This paper analyzed English-Chinese MT errors from the perspective of naming-telling clause (NT clause, hereafter). Two types of text were input to get the MT output: one was to input the whole original English sentences into an MT engine; the other was to parse English sentences into English作者: originality 時(shí)間: 2025-3-24 23:04 作者: BRACE 時(shí)間: 2025-3-25 03:13 作者: circuit 時(shí)間: 2025-3-25 06:55
Qinglin Zhou,Qiong Liu,Fen Chen,Ling Wang,Zongju Pengfirst. This paper analyzed English-Chinese MT errors from the perspective of naming-telling clause (NT clause, hereafter). Two types of text were input to get the MT output: one was to input the whole original English sentences into an MT engine; the other was to parse English sentences into English作者: Cupping 時(shí)間: 2025-3-25 10:32 作者: 很是迷惑 時(shí)間: 2025-3-25 15:05 作者: 贊美者 時(shí)間: 2025-3-25 16:33 作者: 字的誤用 時(shí)間: 2025-3-25 20:51
Multi-path Feature Fusion and Channel Feature Pyramid for Brain Tumor Segmentation in MRIetwork for brain tumor MRI image segmentation that can address the problem of imbalanced data classification in brain tumors. Our method introduces a multi-path feature fusion module and a multi-channel feature pyramid module into the U-Net architecture to alleviate the problems of low segmentation 作者: collagen 時(shí)間: 2025-3-26 03:45 作者: Spina-Bifida 時(shí)間: 2025-3-26 06:39 作者: Ergots 時(shí)間: 2025-3-26 09:36 作者: Bureaucracy 時(shí)間: 2025-3-26 16:14 作者: 誘導(dǎo) 時(shí)間: 2025-3-26 16:55 作者: Popcorn 時(shí)間: 2025-3-26 22:50 作者: 富饒 時(shí)間: 2025-3-27 03:54 作者: cognizant 時(shí)間: 2025-3-27 07:30
Residual Inter-slice Feature Learning for?3D Organ Segmentationllowing two problems. First, these networks employ 2D convolution to achieve 3D organ segmentation, which ignores the relationship between different slices. Second, these networks depend on U-shape networks that employ skip-connection to fusion low-level and high-level features, which ignores the se作者: 蕨類 時(shí)間: 2025-3-27 09:44
A Cross-Paired Wavelet Based Spatiotemporal Fusion Network for Remote Sensing Imagesservation. Most of the existing methods require at least three images as input, which may increase the difficulty in practical applications. Towards this end, a cross-paired wavelet based spatiotemporal fusion network (CPW-STFN) for remote sensing images is proposed. The wavelet transform decomposes作者: CREST 時(shí)間: 2025-3-27 16:11
Coupled Dense Convolutional Neural Networks with Autoencoder for Unsupervised Hyperspectral Super-Rectral super-resolution technology has been developed to meet the needs of engineering applications. The new technology can mitigate many problems due to lower original spatial resolution. Nowadays, the development of deep learning provides many paths to design super-resolution methods and facilitate作者: 微生物 時(shí)間: 2025-3-27 21:20 作者: 調(diào)整校對(duì) 時(shí)間: 2025-3-28 01:54
Conference proceedings 202323 is a biennial conference that focuses on innovative technologies of image, video and graphics processing and fostering innovation, entrepreneurship, and networking. It will feature world-classplenary speakers, exhibits, and high-quality peer reviewed oral and poster presentations..作者: 占卜者 時(shí)間: 2025-3-28 02:04
t in BNC. They are . and . for the verb ., . for the verb ., and . for the verb .. (3) Some colligational patterns occur less frequently in CCE than those in BNC, such as the patterns . and . for the verb . and . for the verb ., and . for the verb .. (4) No new colligational patterns have been found作者: Pudendal-Nerve 時(shí)間: 2025-3-28 08:40
he attention mechanism. Our models can fine-grained enhance the precision of word embeddings without generating additional vectors. Experiments on word similarity and syntactic analogy tasks are conducted to validate the feasibility of our models. Furthermore, the results show that our models have a作者: BUCK 時(shí)間: 2025-3-28 12:51
Chengfang Zhang,Ziliang Feng,Chao Zhang,Kai Yinews to learn unified news representations. In the title view, we learn title representations from words via a long-short term memory (LSTM) network, and use attention mechanism to select important words according to their contextual representations. In the body view, we propose to use a hierarchica作者: Ejaculate 時(shí)間: 2025-3-28 14:47
Jingxue Huang,Xiaosong Li,Haishu Tan,Xiaoqi Chengt in BNC. They are . and . for the verb ., . for the verb ., and . for the verb .. (3) Some colligational patterns occur less frequently in CCE than those in BNC, such as the patterns . and . for the verb . and . for the verb ., and . for the verb .. (4) No new colligational patterns have been found作者: 不舒服 時(shí)間: 2025-3-28 22:03 作者: 灌溉 時(shí)間: 2025-3-29 02:13
Ziye Zhang,Chang-hong Fu,Li Zhang,Hong Hongoth inner-class local information and inter-class global information. Such learning-to-discriminate paradigm can make the model concentrate more on the discriminative knowledge between all candidate classes, and therefore leads to better classification performance. We conducted experiments on standa作者: Morphine 時(shí)間: 2025-3-29 04:12 作者: 吹牛者 時(shí)間: 2025-3-29 08:51 作者: curettage 時(shí)間: 2025-3-29 11:50
Suo Qiu propose a multi-head attention based multi-task learning method which utilizes a series of mechanisms including shared and private feature extractor, multi-head attention, emotion attention and label embedding to capture features and correlations between the two tasks. Experimental results show tha作者: 嚴(yán)厲批評(píng) 時(shí)間: 2025-3-29 17:52 作者: excursion 時(shí)間: 2025-3-29 22:51 作者: Blemish 時(shí)間: 2025-3-30 03:48 作者: 背景 時(shí)間: 2025-3-30 06:15 作者: 爭(zhēng)吵 時(shí)間: 2025-3-30 09:07
Junming Zhang,Jian Su,Tao Lei,Xiaogang Du,Yong Wan,Chenxia Li,Sijia Wen,Weiqiang Zhaosk. Unlike prior RL-based RE approaches that usually fit value functions or compute policy gradients, TERL only outputs the best actions by utilizing a masked Transformer. Experimental results show that the proposed TERL framework can improve many state-of-the-art RL-based RE methods.作者: 反復(fù)拉緊 時(shí)間: 2025-3-30 15:50
and showing superior performance. Experiments on the HotpotQA dataset demonstrate that the effectiveness of our proposed QG module, human evaluation further clarifies its interpretability quantitatively, and thorough analysis shows that the QG module could generate better sub-questions than QD metho作者: Genome 時(shí)間: 2025-3-30 16:55
Xingjian Zhang,Shaohuai Yu,Xinghua Li,Shuang Li,Zhenyu Tantion errors decrease significantly after English sentences are parsed into NT clauses. This result reveals that non-SV clauses are the main source of MT errors, and suggests that English long sentences should be parsed into NT clauses before they are translated.作者: Benzodiazepines 時(shí)間: 2025-3-30 22:33 作者: CUMB 時(shí)間: 2025-3-31 04:40 作者: 離開真充足 時(shí)間: 2025-3-31 07:08
Qinglin Zhou,Qiong Liu,Fen Chen,Ling Wang,Zongju Pengtion errors decrease significantly after English sentences are parsed into NT clauses. This result reveals that non-SV clauses are the main source of MT errors, and suggests that English long sentences should be parsed into NT clauses before they are translated.作者: HAVOC 時(shí)間: 2025-3-31 12:10 作者: indecipherable 時(shí)間: 2025-3-31 14:34
