全部文献期刊会议图书|学者科研项目
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作者:Jiangshe Zhang , Cong Ma , Junmin Liu ...
来源:[J].Neurocomputing(IF 1.634), 2020
摘要:Abstract(#br)Regularization is a very effective algorithm to solve overfitting problem in neural network, which improves the generalization ability of the model. However, their working mechanisms and the impact on the model performance have not been fully explored. In this paper,...
作者:Ruifan Li , Haoyu Liang , Yihui Shi ...
来源:[J].Neurocomputing(IF 1.634), 2020
摘要:Abstract(#br)The task of paragraph image captioning aims to generate a coherent paragraph describing a given image. However, due to their limited ability to capture long-term dependency, recurrent neural network or long-short term memory based decoders could hardly generate satis...
作者:Chuangquan Chen , Yanfen Gan , Chi-Man Vong
来源:[J].Neurocomputing(IF 1.634), 2020, Vol.376, pp.103-118
摘要:Abstract(#br)Semi-Supervised Support Vector Machines (S3VMs) provide a powerful framework for Semi-Supervised Learning (SSL) tasks which leverage widely available unlabeled data to improve performance. However, there exist three issues in S3VMs: (i) S3VMs require concurrently tra...
作者:Qianqian Liu , Yong Jiao , Yangyang Miao ...
来源:[J].Neurocomputing(IF 1.634), 2020, Vol.378, pp.36-44
摘要:Abstract(#br)Canonical correlation analysis (CCA) has been widely used for frequency recognition in steady-state visual evoked potential (SSVEP) based brain–computer interfaces (BCIs). However, linear CCA-based methods may be insufficient given the complexity of EEG signals....
作者:Xiaofeng Cao
来源:[J].Neurocomputing(IF 1.634), 2020, Vol.377, pp.200-212
摘要:Abstract(#br)We approximate the version space which covers all feasible classification hypotheses into a structured geometric hypersphere against agnostic distribution. We present a structured perspective that divides the available active learning (AL) sampling approaches into tw...
作者:Yujia Wu , Jing Li , Jia Wu ...
来源:[J].Neurocomputing(IF 1.634), 2020
摘要:Abstract(#br)Text classification is a popular research topic in the field of natural language processing and provides wide applications. The existing text classification methods based on deep neural networks can completely extract the local features of text. The text classificati...
作者:Xingwei Tan , Yi Cai , Jingyun Xu ...
来源:[J].Neurocomputing(IF 1.634), 2020, Vol.383, pp.336-347
摘要:Abstract(#br)Aspect-Based Sentiment Analysis (ABSA) is a fine-grained sentiment analysis task, which aims to predict sentiment polarities of given aspects or target terms in text. ABSA contains two subtasks: Aspect-Category Sentiment Analysis (ACSA) and Aspect-Term Sentiment Anal...
作者:Andrei Ciuparu , Adriana Nagy-Dăbâcan , Raul C. Mureşan
来源:[J].Neurocomputing(IF 1.634), 2020, Vol.384, pp.376-388
摘要:Abstract(#br)A key strategy to enable training of deep neural networks is to use non-saturating activation functions to reduce the vanishing gradient problem. Popular choices that saturate only in the negative domain are the rectified linear unit (ReLU), its smooth, non-linear va...
作者:Fulin Luo , Yajuan Huang , Weiping Tu ...
来源:[J].Neurocomputing(IF 1.634), 2020, Vol.382, pp.162-173
摘要:Abstract(#br)How to discriminate the types of images is very important for image understanding. A large number of classifiers have been designed for the automatic classification of image. In recent years, sparse representation has widely used in the field of image classification....

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