派博傳思國際中心

標題: Titlebook: Image and Graphics; 9th International Co Yao Zhao,Xiangwei Kong,David Taubman Conference proceedings 2017 Springer Nature Switzerland AG 20 [打印本頁]

作者: Affordable    時間: 2025-3-21 18:18
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: Fantasy    時間: 2025-3-21 21:34

作者: 使混合    時間: 2025-3-22 03:24

作者: 不怕任性    時間: 2025-3-22 08:27

作者: 膽汁    時間: 2025-3-22 08:58
two sequential steps: (a) isolating language-specific requisite competencies underlying lexical development in two ty ologically diverse languages, Chinese and English; and (b) determining lexical-processing behaviors uniquely associated with print-processing experience in Chinese. Based on the anal
作者: implore    時間: 2025-3-22 15:37

作者: 柱廊    時間: 2025-3-22 18:06
Yudong Cheng,Feng Liu,Zongliang Gan,Ziguan Cuitwo sequential steps: (a) isolating language-specific requisite competencies underlying lexical development in two ty ologically diverse languages, Chinese and English; and (b) determining lexical-processing behaviors uniquely associated with print-processing experience in Chinese. Based on the anal
作者: 防水    時間: 2025-3-22 21:39

作者: 使害怕    時間: 2025-3-23 02:38
Lvran Chen,Huicheng Zheng,Zijian Lin,Dajun Lin,Bo Keocused on the form of landownership in the Chun Qiu period. I shall argue that communal landownership still persisted throughout the period, although changes were already taking place in some city-states. In the second section I shall investigate how the process of transition from communal landowner
作者: 血統(tǒng)    時間: 2025-3-23 08:02

作者: Yourself    時間: 2025-3-23 09:57
Jiayu Dong,Huicheng Zheng,Lina Liannd self-attention within input sequence, where the input sequence contains a current question and a passage. Then a feature selection method is designed to enhance the useful history turns of conversation and weaken the unnecessary information. Finally, we demonstrate the effectiveness of the propos
作者: 墊子    時間: 2025-3-23 17:35
Long Zhang,Jieyu Zhao,Xiangfu Shi,Xulun Yeith the NER model to fuse both contexts and dictionary knowledge into NER. Extensive experiments on the CoNLL-2003 benchmark dataset validate the effectiveness of our approach in exploiting entity dictionaries to improve the performance of various NER models.
作者: 洞穴    時間: 2025-3-23 21:24

作者: enlist    時間: 2025-3-24 01:53
Yang Yu,Zhiqiang Gong,Ping Zhong,Jiaxin Shannd self-attention within input sequence, where the input sequence contains a current question and a passage. Then a feature selection method is designed to enhance the useful history turns of conversation and weaken the unnecessary information. Finally, we demonstrate the effectiveness of the propos
作者: 莊嚴    時間: 2025-3-24 02:56

作者: 外表讀作    時間: 2025-3-24 09:21

作者: dermatomyositis    時間: 2025-3-24 11:22
Jing Wang,Hong Zhu,Shan Xue,Jing Shipairs. In the interaction layer, we initially fuse the information of the sentence pairs to obtain low-level semantic information; at the same time, we use the bi-directional attention in the machine reading comprehension model and self-attention to obtain the high-level semantic information. We use
作者: 過于光澤    時間: 2025-3-24 16:37

作者: Collected    時間: 2025-3-24 21:27

作者: 樣式    時間: 2025-3-25 00:48
Wei Hu,Hongyu Qi,Zhenbing Zhao,Leilei Xuction strategies to explore its effect. We conduct experiments on seven Semantic Textual Similarity (STS) tasks. The experimental results show that our ConIsI models based on . and . achieve state-of-the-art performance, substantially outperforming previous best models SimCSE-. and SimCSE-. by 2.05%
作者: HAUNT    時間: 2025-3-25 04:52

作者: 強有力    時間: 2025-3-25 07:40

作者: Vulnerable    時間: 2025-3-25 15:17
Jingwen Yan,Zhenguo Yuan,Tingting Xie,Huimin Zhaot 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: 先行    時間: 2025-3-25 16:48

作者: Canyon    時間: 2025-3-25 21:41
Actual License Plate Images Clarity Classification via Sparse Representation in advance will help the license plate recognition algorithm set appropriate parameters to improve the accuracy of the recognition. In this paper, we propose a classification algorithm based on sparse representation and reconstruction error to divide license plate images into two categories: high-c
作者: CREEK    時間: 2025-3-26 03:16
Non-rigid 3D Object Retrieval with a Learned Shape Descriptordiscriminative shape descriptor for non-rigid 3D object retrieval. Compact low-level shape descriptors are designed from spectral descriptor, and the non-linear mapping of low level shape descriptors is carried out by a Siamese network. The Siamese network is trained to maximize the inter-class marg
作者: hemorrhage    時間: 2025-3-26 08:19
Adaptive Patch Quantization for?Histogram-Based Visual Trackingincapable of distinguishing objects from backgrounds robustly. In this paper, we propose an adaptive patch quantization approach for histogram-based visual tracking. We first exploit neighboring pixels in the form of local patches to improve the discrimination between objects and backgrounds. Then w
作者: 并置    時間: 2025-3-26 12:09
Neural Image Caption Generation with Global Feature Based Attention Schememost attention scheme use the set of region features. Compared with global feature, the region features are lower level features. But we prefer high-level features in image caption generation because words are high-level concepts. So we explore a new attention scheme based on the global feature and
作者: ERUPT    時間: 2025-3-26 16:21
Activation-Based Weight Significance Criterion for Pruning Deep Neural Networksal neural networks (CNNs), can be inconvenient to implement for many real world applications. Therefore, sparsifying deep and densely connected neural networks is becoming a more and more important topic in the computer vision field for addressing these limitations. This paper starts from a very dee
作者: 拖網(wǎng)    時間: 2025-3-26 20:11

作者: 顛簸地移動    時間: 2025-3-26 23:30

作者: insidious    時間: 2025-3-27 04:35

作者: thrombosis    時間: 2025-3-27 08:49
Image Captioning with Object Detection and Localizationulti-model neural network method closely related to the human visual system that automatically learns to describe the content of images. Our model consists of two sub-models: an object detection and localization model, which extracts the information of objects and their spatial relationship in image
作者: GENRE    時間: 2025-3-27 09:32
Image Set Representation with ,-Norm Optimal Mean Robust Principal Component Analysislly contains various kinds of noises and outliers which usually make the recognition/learning tasks of image set more challengeable. In this paper, we propose a new . norm optimal Mean Principal Component Analysis (L1-MPCA) to learn an optimal low-rank representation for image set. Comparing with or
作者: exhibit    時間: 2025-3-27 14:44

作者: 瘋狂    時間: 2025-3-27 20:33
Hardness Prediction for Object Detection Inspired by Human Visionn path and (2) peaks of heat to better define and understand human vision. In this paper, these features are used to describe the eye movements of a person when he/she is watching an image and looking for the target object in it. Based on these features, a new image complexity called . is defined. E
作者: 身體萌芽    時間: 2025-3-28 01:03

作者: 方舟    時間: 2025-3-28 03:52

作者: ZEST    時間: 2025-3-28 07:42
A Dim Small Target Detection Method Based on Spatial-Frequency Domain Features Spacerveillance. Due to the complexity of the imaging environment, the detection of dim small targets in star images faces many difficulties, including low SNR and rare unstable features. This paper proposes a dim small target detection method based on the high dimensional spatial-frequency domain featur
作者: 珠寶    時間: 2025-3-28 13:50
An Algorithm for Tight Frame Grouplet to Compute Association Fieldslity property, multiscale association fields become more flexible to construct grouplets which can adapt the different geometry structure in different scales. Grouplet transform uses the block matching algorithm to compute association field coefficients, which needs more operations than the computat
作者: capillaries    時間: 2025-3-28 15:54
Shared-Book reading is one-way to expand the volume of reading of young children. In China, teaching reading is based on a long tradition of intensive reading of limited amounts of text using recitation, drill, practice, and memorization. The Shared-Book approach was adapted to accommodate the Chine
作者: 寬敞    時間: 2025-3-28 20:48
l development. Given that (a) writing systems vary in their structural, functional, and representational properties; and (b) lexical processing skills and strategies transfer from one language to another in L2 reading, it is virtually certain that structural variation in first language (L1) writing
作者: 發(fā)微光    時間: 2025-3-29 02:55

作者: CRAMP    時間: 2025-3-29 04:07

作者: 橫截,橫斷    時間: 2025-3-29 11:01

作者: defendant    時間: 2025-3-29 13:15
Lvran Chen,Huicheng Zheng,Zijian Lin,Dajun Lin,Bo Ke in all aspects of relations of production. However, in this chapter I shall concentrate on the changing forms of landownership, because it was one of the most crucial factors in determining the economic development of ancient China. Inevitably, received understanding of many historical events will
作者: 加劇    時間: 2025-3-29 18:13
Yongzhuang Wang,Hongkai XiongTourism-domain Knowledge Graph (TKG), which is helpful to manage tourism information and develop downstream applications such as tourism search engine, recommendation and Q & A. However, the existing TKG is deficient, and there are few open methods to promote the construction and widespread applicat
作者: brachial-plexus    時間: 2025-3-29 23:26
Jiayu Dong,Huicheng Zheng,Lina Lian pairs, the passage context, and current question. It can be applied to a variety of scenarios with human-machine dialogue. The major challenge of this task is to require the model to consider the relevant conversation history while understanding the passage. Existing methods usually simply prepend
作者: 異常    時間: 2025-3-30 03:49
Long Zhang,Jieyu Zhao,Xiangfu Shi,Xulun Yedel training, and their performance on rare entities is usually unsatisfactory. Entity dictionaries can cover many entities including both popular ones and rare ones, and are useful for NER. However, many entity names are context-dependent and it is not optimal to directly apply dictionaries without
作者: 箴言    時間: 2025-3-30 04:35
Jiajie Chen,Huicheng Zheng,Na He,Ziquan Luo,Rui Zhudel training, and their performance on rare entities is usually unsatisfactory. Entity dictionaries can cover many entities including both popular ones and rare ones, and are useful for NER. However, many entity names are context-dependent and it is not optimal to directly apply dictionaries without
作者: FOVEA    時間: 2025-3-30 09:10
Yang Yu,Zhiqiang Gong,Ping Zhong,Jiaxin Shan pairs, the passage context, and current question. It can be applied to a variety of scenarios with human-machine dialogue. The major challenge of this task is to require the model to consider the relevant conversation history while understanding the passage. Existing methods usually simply prepend
作者: ORE    時間: 2025-3-30 14:23
Zhongliang Yang,Yu-Jin Zhang,Sadaqat ur Rehman,Yongfeng HuangTourism-domain Knowledge Graph (TKG), which is helpful to manage tourism information and develop downstream applications such as tourism search engine, recommendation and Q & A. However, the existing TKG is deficient, and there are few open methods to promote the construction and widespread applicat
作者: relieve    時間: 2025-3-30 20:14
Youxia Cao,Bo Jiang,Jin Tang,Bin Luoadvantage of lots of semantic information contained in golden temporal relation labels, which is lost by the discrete one-hot labels. To alleviate the loss of semantic information, we propose learning Temporal semantic information of the golden labels by Auxiliary Contrastive Learning (TempACL). Dif
作者: Arboreal    時間: 2025-3-30 22:10
Jing Wang,Hong Zhu,Shan Xue,Jing Shiations in natural language processing tasks such as reading comprehension, question and answer systems. The main approach is to compute the interaction between text representations and sentence pairs through an attention mechanism, which can extract the semantic information between sentence pairs we
作者: 推遲    時間: 2025-3-31 03:59
Yuwei Qiu,Huimin Ma,Lei Gaommon practice is applying the translation model as a feature extractor. However, there exist several discrepancies between the translation model and the QE model. The translation model is trained in an autoregressive manner, while the QE model is performed in a non-autoregressive manner. Besides, th
作者: Panacea    時間: 2025-3-31 05:53

作者: brachial-plexus    時間: 2025-3-31 09:52

作者: Perennial長期的    時間: 2025-3-31 15:36

作者: ORE    時間: 2025-3-31 18:53

作者: hypnogram    時間: 2025-4-1 00:15
Jingwen Yan,Zhenguo Yuan,Tingting Xie,Huimin Zhaothree 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




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