標(biāo)題: Titlebook: Web and Big Data; Third International Jie Shao,Man Lung Yiu,Bin Cui Conference proceedings 2019 Springer Nature Switzerland AG 2019 artifi [打印本頁] 作者: Braggart 時間: 2025-3-21 17:33
書目名稱Web and Big Data影響因子(影響力)
書目名稱Web and Big Data影響因子(影響力)學(xué)科排名
書目名稱Web and Big Data網(wǎng)絡(luò)公開度
書目名稱Web and Big Data網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Web and Big Data被引頻次
書目名稱Web and Big Data被引頻次學(xué)科排名
書目名稱Web and Big Data年度引用
書目名稱Web and Big Data年度引用學(xué)科排名
書目名稱Web and Big Data讀者反饋
書目名稱Web and Big Data讀者反饋學(xué)科排名
作者: Indelible 時間: 2025-3-21 20:24 作者: 憤憤不平 時間: 2025-3-22 03:36 作者: PANT 時間: 2025-3-22 04:44
Yunpei Zheng,Lin Li,Jianwei Zhang,Qing Xie,Luo Zhongdevelop the subject in a way which would have been impossible otherwise. It is a rapidly growing research field which began to flourish in the 1960s and which is beginning to produce commercial devices. Significant developments have been made, both in the theory and practical engineering of the subj作者: 大炮 時間: 2025-3-22 09:49
Zheng Wang,Cai Na,Zeyu Ma,Si Chen,Lingyun Song,Yang Yangods is that they focus on salient region mining and feature extraction, while ignoring the ability to incorporate discriminative and complementary features from other parts of the image. In order to address this issue, we introduce a novel network known as the Discriminative Region Enhancing and Sup作者: disciplined 時間: 2025-3-22 13:05 作者: daredevil 時間: 2025-3-22 17:08 作者: Infect 時間: 2025-3-22 21:46
Huanran Xue,Jiawei Jiang,Yingxia Shao,Bin Cui the bias of a classifier is a direct consequence of a bias in the training set, frequently caused by the co-occurrence of relevant features and irrelevant ones. To mitigate this issue, we require learning algorithms that prevent the propagation of known bias from the dataset into the classifier. We作者: LINE 時間: 2025-3-23 01:41
Xiyao Fu,Yi Bin,Zheng Wang,Qin Wei,Si Chenit highly class-imbalanced distributions, yielding two main challenges: relative imbalance amongst the classes and data scarcity for mediumshot or fewshot classes. In this work, we address the problem of long-tailed recognition wherein the training set is highly imbalanced and the test set is kept b作者: 彩色 時間: 2025-3-23 08:39 作者: 寬度 時間: 2025-3-23 10:25 作者: 使堅硬 時間: 2025-3-23 16:05 作者: 臭名昭著 時間: 2025-3-23 18:05
Jiangfeng Zeng,Ming Yang,Ke Zhou,Xiao Ma,Yangtao Wang,Xiaodong Xu,Zhili Xiao other cameras have observed a specific face detected by a camera. However, this is a challenging task because of the reduced resolution, and changes in lighting and background available in surveillance video sequences. Furthermore, the face to get re-identified suffers changes in appearance due to 作者: 神圣將軍 時間: 2025-3-24 01:59 作者: Nerve-Block 時間: 2025-3-24 03:31 作者: 單挑 時間: 2025-3-24 10:25 作者: Onerous 時間: 2025-3-24 11:23
Yeliang Xiu,Suyun Zhao,Hong Chen,Cuiping Limation we fit planes, in disparity space, to regions of the image. For each pixel, the probability of its depth lying on an object plane is modeled as a Gaussian distribution, whose variance is determined using the confidence from a previous matching. We then recalculate a new disparity estimation w作者: characteristic 時間: 2025-3-24 17:26 作者: 骯臟 時間: 2025-3-24 22:39 作者: 摘要 時間: 2025-3-25 00:22
Longlong Xu,Xiansheng Chen,Yue Xu,Wei Chen,Tengjiao Wangcognition is one of the key technologies. A large number of scholars have done a lot of works to improve the accuracy of the algorithm for the task. However, there are relatively few studies and improvements in the computational complexity of algorithms and system real-time. In the autonomous drivin作者: gait-cycle 時間: 2025-3-25 06:19 作者: 放縱 時間: 2025-3-25 10:56
Jianzong Chen,Hanlu Li,Qing Xie,Lin Li,Yongjian Liuorestry experts. Consequently, computer vision techniques have been used to automatically detect tree tops and classify them in terms of species or plant health status. The success of the algorithms are highly dependent on the data, and most significantly in its quantity and in the number of challen作者: Fissure 時間: 2025-3-25 13:03 作者: NAV 時間: 2025-3-25 18:44 作者: FATAL 時間: 2025-3-25 20:30 作者: FADE 時間: 2025-3-26 01:25
Xiaochen Wang,Gang Hu,Haoyang Lin,Jiayu Sunvities where a sub-activity correspond to a segment of video. For building activity recognizer, each segment is encoded into a feature vector. Hence a video is represented as a sequence of feature vectors. In this work, we propose to explore GMM-based encoding scheme ot encode a video segment into b作者: 招人嫉妒 時間: 2025-3-26 08:13
Xiaochen Wang,Gang Hu,Haoyang Lin,Jiayu Sunanuscript localization, date estimation, and, occasionally, forgery detection. Researchers continually perform corroborative tests to classify manuscripts based on physical materials. However, these tests, often performed on-site, require actual access to the manuscript objects. These procedures inv作者: NATAL 時間: 2025-3-26 10:55
Lang Mei,Jun He,Hongyan Liu,Xiaoyong Du tackled, with the goal being a thorough, statistical analysis of the data base. A reasonably complex example was chosen, to illustrate both the results as well as the problems encountered in a pattern recognition study. The statistical evaluation of the data base used for the examples was performed作者: CLAP 時間: 2025-3-26 14:50 作者: LIMN 時間: 2025-3-26 17:40 作者: 不吉祥的女人 時間: 2025-3-26 21:32 作者: 燦爛 時間: 2025-3-27 02:08
Jizhou Luo,Wei Zhang,Shengfei Shi,Hong Gao,Jianzhong Li,Tao Zhang,Zening Zhou, which is a high-risk malignant tumor in the Central Nervous System (CNS). This tumor has many types and is diagnosed by biopsy when examining the histological images, which takes a lot of effort and time. In this paper, we propose to perform an automated Childhood Medulloblastoma classification ba作者: 帶來墨水 時間: 2025-3-27 08:19 作者: 秘傳 時間: 2025-3-27 12:16
Xiaolei Zhang,Chunxi Zhang,Yuming Li,Rong Zhang,Aoying Zhou, there is a growing concern about document authenticity. For example, texts in property documents can be altered to make an illegal deal, or the date on an airline ticket can be altered to gain entry to airport terminals by breaching security. To prevent such illicit activities, this paper presents作者: 不如屎殼郎 時間: 2025-3-27 16:39 作者: Bucket 時間: 2025-3-27 21:44 作者: ineluctable 時間: 2025-3-27 22:46
Using Sentiment Representation Learning to Enhance Gender Classification for User Profiling from LSTM middle layer. Lastly we combine sentiment representations with virtual document vectors to train a basic MLP network for gender classification. We conduct experiments on a dataset provided by SMP CUP 2016 in China. Experimental results show that our approach can improve gender classificat作者: EVICT 時間: 2025-3-28 02:51
Using Sentiment Representation Learning to Enhance Gender Classification for User Profiling from LSTM middle layer. Lastly we combine sentiment representations with virtual document vectors to train a basic MLP network for gender classification. We conduct experiments on a dataset provided by SMP CUP 2016 in China. Experimental results show that our approach can improve gender classificat作者: 你正派 時間: 2025-3-28 07:39
Exploring Nonnegative and Low-Rank Correlation for Noise-Resistant Spectral Clustering provides more adaptivity and flexibility to different noise levels. Extensive experiments on various real-world datasets illustrate the advantage of the proposed robust spectral clustering approach compared to existing clustering methods.作者: ambivalence 時間: 2025-3-28 13:52
Exploring Nonnegative and Low-Rank Correlation for Noise-Resistant Spectral Clustering provides more adaptivity and flexibility to different noise levels. Extensive experiments on various real-world datasets illustrate the advantage of the proposed robust spectral clustering approach compared to existing clustering methods.作者: Daily-Value 時間: 2025-3-28 15:20
Supervised Hashing with Recurrent Scalingtributes. This RNN is reformed to adjust the decorrelation of data flowing between each cell step, which not only makes the learning phase benefit from the ability of recurrent neural nets to learn with recurrent memory but also enable the availability of each hash bit to preserve distinct informati作者: Vulnerable 時間: 2025-3-28 19:05
Supervised Hashing with Recurrent Scalingtributes. This RNN is reformed to adjust the decorrelation of data flowing between each cell step, which not only makes the learning phase benefit from the ability of recurrent neural nets to learn with recurrent memory but also enable the availability of each hash bit to preserve distinct informati作者: 天氣 時間: 2025-3-28 23:40 作者: 注視 時間: 2025-3-29 06:01
TRPN: Matrix Factorization Meets Recurrent Neural Network for Temporal Rating Prediction RNN at different time step. We also apply item-dependent attention mechanism to discriminate the importance of different temporal interactions. We conduct extensive experiments to evaluate the performance of our proposed temporal rating prediction method named TRPN. The results show that TRPN can a作者: debunk 時間: 2025-3-29 10:31 作者: Gobble 時間: 2025-3-29 11:33
Improved Review Sentiment Analysis with a Syntax-Aware Encodertence representations into a sequence-structured long short-term memory network (LSTM) and exploit attention mechanism to generate the review embedding for final sentiment classification. We evaluate our attention-based tree-LSTM model on three public datasets, and experimental results turn out that作者: investigate 時間: 2025-3-29 18:59 作者: CHIP 時間: 2025-3-29 20:46 作者: Generosity 時間: 2025-3-30 03:20
ST-DCN: A Spatial-Temporal Densely Connected Networks for Crowd Flow Prediction for modeling the external factors. Then the outputs of these three modules are merged to predict the final crowd flow in each region. ST-DCN can alleviate the vanishing-gradient problem and strengthen the propagation of spatial features in very deep network. In addition, the spatial features struct作者: scrape 時間: 2025-3-30 06:01 作者: APNEA 時間: 2025-3-30 10:32
Streaming Recommendation Algorithm with User Interest Drift Analysis are embedded to analyze the users’ current interest and preference accurately and timely. To evaluate the performance of our proposed model, the experiments are designed on the popular dataset MovieLens, and different algorithms are compared in streaming environment. The results show that our appro作者: CLAP 時間: 2025-3-30 13:07 作者: IRATE 時間: 2025-3-30 19:36
Unified Group Recommendation Towards Multiple Criteriaand how to make a trade-off among their preferences for the recommended items is still the main research point. To address these challenges, we present a Unified Group Recommendation (UGR) model, which intertwines the user grouping and group recommendation in a unified multi-objective optimization p作者: VAN 時間: 2025-3-30 22:39
Unified Group Recommendation Towards Multiple Criteriaand how to make a trade-off among their preferences for the recommended items is still the main research point. To address these challenges, we present a Unified Group Recommendation (UGR) model, which intertwines the user grouping and group recommendation in a unified multi-objective optimization p作者: encomiast 時間: 2025-3-31 02:57 作者: 葡萄糖 時間: 2025-3-31 06:23
A Novel Ensemble Approach for Click-Through Rate Prediction Based on Factorization Machines and Gradation for transforming the raw features to cross-combined features. In addition, we import the attention mechanism to calculate users’ latent attention on different features. To illustrate the performance of GFM, we conduct experiments on two real-world datasets, including a movie dataset and a musi作者: 和平主義者 時間: 2025-3-31 10:42
Latent Path Connected Space Model for Recommendationdegree. Extensive evaluations on four real-world datasets show that our approach outperforms the Matrix Factorization model on rating prediction task especially when the rating data is extremely sparse.作者: 排他 時間: 2025-3-31 14:50 作者: GEST 時間: 2025-3-31 20:50
Which Category Is Better: Benchmarking the RDBMSs and GDBMSsport which category is better in different application scenarios. We conduct extensive experiments over the unified benchmark, and report our findings: (1) RDBMSs are significantly faster for aggregations and order by operations, (2) GDBMSs are shown to be superior for projection, multi-table join a作者: Pepsin 時間: 2025-3-31 22:10
Which Category Is Better: Benchmarking the RDBMSs and GDBMSsport which category is better in different application scenarios. We conduct extensive experiments over the unified benchmark, and report our findings: (1) RDBMSs are significantly faster for aggregations and order by operations, (2) GDBMSs are shown to be superior for projection, multi-table join a作者: Crayon 時間: 2025-4-1 04:56 作者: 他去就結(jié)束 時間: 2025-4-1 09:59
Yunpei Zheng,Lin Li,Jianwei Zhang,Qing Xie,Luo Zhongpragmatists are more concerned with vaguer ideas of reasonable and sufficient. In some situations, the quest for optimality can constrain research and retard practical progress. This can occur, for example, if too narrow a view is taken of "optimal": the accuracy of a system may be optimal whereas its speed, 978-1-4613-4156-7978-1-4613-4154-3作者: prolate 時間: 2025-4-1 12:33 作者: Tracheotomy 時間: 2025-4-1 14:59 作者: Complement 時間: 2025-4-1 18:34 作者: 母豬 時間: 2025-4-2 01:37 作者: Cougar 時間: 2025-4-2 04:32 作者: ordain 時間: 2025-4-2 08:58 作者: 關(guān)心 時間: 2025-4-2 11:14
Yeliang Xiu,Suyun Zhao,Hong Chen,Cuiping Licomputational complexity, DenseNet-161 has a lower number of trainable parameters than that of Efficientnet-B7. To train the DNNs appropriately, we construct a labeled dataset from one of the largest public datasets, bounding NV regions in the retinal images.作者: 去世 時間: 2025-4-2 18:14
Longlong Xu,Xiansheng Chen,Yue Xu,Wei Chen,Tengjiao Wang on the generalized Hough transform. We will apply the proposed filter to a feature detection task on confocal microscopical images of airborne pollen and compare the results to a 3D-extension of a popular GHT-based approach and to a classification per voxel solution.作者: 專心 時間: 2025-4-2 19:30 作者: Lipoprotein(A) 時間: 2025-4-3 00:18
Xiaochen Wang,Gang Hu,Haoyang Lin,Jiayu Sunsequence kernel and segment level Fisher kernel for matching videos when segments are represented using an encoded feature vector representation. The effectiveness of the proposed sequence kernels in the SVM- based activity recognition are studied using benchmark datasets.作者: 摻假 時間: 2025-4-3 05:26
rum of pattern recognition methodologies, including geometric, statistical, fuzzy set, syntactic, graph-theoretic and hybrid approaches. Its cove,r- age of hybrid methods places the volume in a unique position among existing books on pattern recognition. The second section provides an extensive trea作者: 思考才皺眉 時間: 2025-4-3 10:26
Zheng Wang,Cai Na,Zeyu Ma,Si Chen,Lingyun Song,Yang Yangnd can be trained end-to-end. Our proposed method demonstrates competitive performance on three fine-grained classification benchmark datasets, as supported by extensive experimental results. Additionally, it is compatible with widely used frameworks currently in use.作者: 緊張過度 時間: 2025-4-3 12:16
