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检索条件"主题词=Multiview Representation Learning"
8 条 记 录,以下是1-10 订阅
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Explaining representations in Correlation-based Deep multiview representation learning
Explaining Representations in Correlation-based Deep Multivi...
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2025 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2025
作者: Kuschel, Maurice Alkhatib, Amr Hasija, Tanuj Boström, Henrik Signal and System Theory Group Paderborn University Paderborn Germany Division of Software and Computer Systems KTH Royal Institue of Technology Stockholm Sweden
multiview representation learning techniques based on deep correlation maximization have become increasingly popular for learning meaningful and compact representations from multiview data. Even though their performan... 详细信息
来源: 评论
multiview representation learning via Deep CCA for Silent Speech Recognition  18
Multiview Representation Learning via Deep CCA for Silent Sp...
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18th Annual Conference of the International-Speech-Communication-Association (INTERSPEECH 2017)
作者: Kim, Myungjong Cao, Beiming Mau, Ted Wang, Jun Univ Texas Dallas Dept Bioengn Speech Disorders & Technol Lab Richardson TX 75083 USA Univ Texas Dallas Callier Ctr Commun Disorders Richardson TX 75083 USA Univ Texas Southwestern Med Ctr Dallas Dept Otolaryngol Head & Neck Surg Dallas TX 75390 USA
Silent speech recognition (SSR) converts non-audio information such as articulatory (tongue and lip) movements to text. Articulatory movements generally have less information than acoustic features for speech recognit... 详细信息
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Graph Convolutional Networks with Dependency Parser towards multiview representation learning for Sentiment Analysis  22
Graph Convolutional Networks with Dependency Parser towards ...
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22nd IEEE International Conference on Data Mining (ICDM)
作者: Yang, Minqiang Liu, Xinqi Mao, Chengsheng Hu, Bin Lanzhou Univ Sch Informat Sci & Engn Lanzhou Peoples R China Northwestern Univ Dept Prevent Med Feinberg Sch Med Chicago IL USA
Sentiment analysis has become increasingly important in natural language processing (NLP). Recent efforts have been devoted to the graph convolutional network (GCN) due to its advantages in handling the complex inform... 详细信息
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Autoencoder in Autoencoder Networks
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IEEE TRANSACTIONS ON NEURAL NETWORKS AND learning SYSTEMS 2024年 第2期35卷 2263-2275页
作者: Zhang, Changqing Geng, Yu Han, Zongbo Liu, Yeqing Fu, Huazhu Hu, Qinghua Tianjin Univ Tianjin Key Lab Machine Learning Tianjin 300350 Peoples R China Tianjin Univ Coll Intelligence & Comp Tianjin 300350 Peoples R China ASTAR Inst High Performance Comp IHPC Singapore 138632 Singapore
Modeling complex correlations on multiview data is still challenging, especially for high-dimensional features with possible noise. To address this issue, we propose a novel unsupervised multiview representation learn... 详细信息
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Joint Versus Independent multiview Hashing for Cross-View Retrieval
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IEEE TRANSACTIONS ON CYBERNETICS 2021年 第10期51卷 4982-4993页
作者: Hu, Peng Peng, Xi Zhu, Hongyuan Lin, Jie Zhen, Liangli Peng, Dezhong Sichuan Univ Coll Comp Sci Chengdu 610065 Peoples R China Agcy Sci Technol & Res Inst Infocomm Res Singapore Singapore Agcy Sci Technol & Res Inst High Performance Comp Singapore Singapore Frontier Acad Ctr Shenzhen Peng Cheng Lab Shenzhen 518052 Peoples R China Southwest Univ Coll Comp & Informat Sci Chongqing 400715 Peoples R China
Thanks to the low storage cost and high query speed, cross-view hashing (CVH) has been successfully used for similarity search in multimedia retrieval. However, most existing CVH methods use all views to learn a commo... 详细信息
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Canonical Correlation Analysis With L2,1-Norm for multiview Data representation
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IEEE TRANSACTIONS ON CYBERNETICS 2020年 第11期50卷 4772-4782页
作者: Xu, Meixiang Zhu, Zhenfeng Zhang, Xingxing Zhao, Yao Li, Xuelong Beijing Jiaotong Univ Inst Informat Sci Beijing 100044 Peoples R China Beijing Jiaotong Univ Beijing Key Lab Adv Informat Sci & Network Techno Beijing 100044 Peoples R China Northwestern Polytech Univ Sch Comp Sci Xian 710072 Peoples R China Northwestern Polytech Univ Ctr Opt Imagery Anal & Learning Xian 710072 Peoples R China
For many machine learning algorithms, their success heavily depends on data representation. In this paper, we present an l(2,1)-norm constrained canonical correlation analysis (CCA) model, that is, L-2,L-1-CCA, toward... 详细信息
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CB2CF: A Neural multiview Content-to-Collaborative Filtering Model for Completely Cold Item Recommendations  19
CB2CF: A Neural Multiview Content-to-Collaborative Filtering...
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13th ACM Conference on Recommender Systems (RECSYS)
作者: Barkan, Oren Koenigstein, Noam Yogev, Eylon Katz, Ori Microsoft Herzliyya Israel Tel Aviv Univ Tel Aviv Israel Technion Haifa Israel
In Recommender Systems research, algorithms are often characterized as either Collaborative Filtering (CF) or Content Based (CB). CF algorithms are trained using a dataset of user preferences while CB algorithms are t... 详细信息
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Variational graph autoencoders for multiview canonical correlation analysis
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SIGNAL PROCESSING 2021年 188卷 108182-108182页
作者: Kaloga, Yacouba Borgnat, Pierre Chepuri, Sundeep Prabhakar Abry, Patrice Habrard, Amaury Univ Lyon Univ Claude Bernard CNRS Ens LyonLab Phys Lyon France Indian Inst Sci Dept Elect & Commun Engn Bangalore Karnataka India Univ Lyon CNRS Lab Hubert Curien UJM St EtienneUMR 5516 F-5516 Lyon France
We present a novel approach for multiview canonical correlation analysis based on a variational graph neural network model. We propose a nonlinear model which takes into account the available graph based geometric con... 详细信息
来源: 评论