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检索条件"主题词=Probabilistic Generative Model"
73 条 记 录,以下是1-10 订阅
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Learning structures of interval-based Bayesian networks in probabilistic generative model for human complex activity recognition
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PATTERN RECOGNITION 2018年 81卷 545-561页
作者: Liu, Li Wang, Shu Hu, Bin Qiong, Qingyu Wen, Junhao Rosenblum, David S. Minist Educ Key Lab Dependable Serv Comp Cyber Phys Soc Chongqing 400044 Peoples R China Chongqing Univ Sch Software Engn 174 Shazhengjie Chongqing 400044 Peoples R China Southwest Univ Fac Mat & Energy Chongqing 400715 Peoples R China Lanzhou Univ Sch Informat Sci & Engn Lanzhou 730000 Peoples R China Natl Univ Singapore Sch Comp Singapore 117417 Singapore
Complex activity recognition is challenging due to the inherent uncertainty and diversity of performing a complex activity. Normally, each instance of a complex activity has its own configuration of atomic actions and... 详细信息
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Unsupervised Hyperspectral and Multispectral Images Fusion Based on Nonlinear Variational probabilistic generative model
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IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS 2022年 第2期33卷 721-735页
作者: Wang, Zhengjue Chen, Bo Zhang, Hao Liu, Hongwei Xidian Univ Natl Lab Radar Signal Proc Xian 710071 Peoples R China
Due to hardware limitations, it is challenging for sensors to acquire images of high resolution in both spatial and spectral domains, which arouses a trend that utilizing a low-resolution hyperspectral image (LR-HSI) ... 详细信息
来源: 评论
Hippocampal formation-inspired probabilistic generative model
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NEURAL NETWORKS 2022年 第0期151卷 317-335页
作者: Taniguchi, Akira Fukawa, Ayako Yamakawa, Hiroshi Ritsumeikan Univ 1-1-1 Noji Higashi Kusatsu Shiga 5258577 Japan Whole Brain Architecture Initiat Edogawa Ku Nishikoiwa 2-19-21 Tokyo 1330057 Japan Univ Tokyo Bunkyo Ku 7-3-1 Hongo Tokyo 1130033 Japan RIKEN 6-2-3 Furuedai Suita Osaka 5650874 Japan
In building artificial intelligence (AI) agents, referring to how brains function in real environments can accelerate development by reducing the design space. In this study, we propose a probabilistic generative mode... 详细信息
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A whole brain probabilistic generative model: Toward realizing cognitive architectures for developmental robots
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NEURAL NETWORKS 2022年 第0期150卷 293-312页
作者: Taniguchi, Tadahiro Yamakawa, Hiroshi Nagai, Takayuki Doya, Kenji Sakagami, Masamichi Suzuki, Masahiro Nakamura, Tomoaki Taniguchi, Akira Ritsumeikan Univ 1-1-1 Noji Higashi Kusatsu Japan Univ Tokyo Bunkyo Ku 7-3-1 Hongo Tokyo Japan Osaka Univ 1-3 Machikane Yama Toyonaka Osaka Japan Grad Univ Okinawa Inst Sci & Technol 1919-1 Tancha Kunigami Okinawa Japan Tamagawa Univ 6-1-1 Tamagawa Gakuen Tokyo Japan Univ Electrocommun 1-5-1 Chofugaoka Tokyo Japan Whole Brain Architecture Initiat Edogawa Ku 2-19-21 Nishikoiwa Tokyo Japan RIKEN 6-2-3 Furuedai Suita Osaka Japan
Building a human-like integrative artificial cognitive system, that is, an artificial general intelligence (AGI), is the holy grail of the artificial intelligence (AI) field. Furthermore, a computational model that en... 详细信息
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An efficient hybrid music recommender system using an incrementally trainable probabilistic generative model
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IEEE TRANSACTIONS ON AUDIO SPEECH AND LANGUAGE PROCESSING 2008年 第2期16卷 435-447页
作者: Yoshii, Kazuyoshi Goto, Masataka Komatani, Kazunori Ogata, Tetsuya Okuno, Hiroshi G. Kyoto Univ Grad Sch Informat Dept Intelligence Sci & Technol Kyoto 6068501 Japan Natl Inst Adv Ind Sci & Technol Tsukuba Ibaraki 3058568 Japan
This paper presents a hybrid music recommender system that ranks musical pieces while efficiently maintaining collaborative and content-based data, i.e., rating scores given by users and acoustic features of audio sig... 详细信息
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probabilistic generative model for Hyperspectral Unmixing Accounting for Endmember Variability
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IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING 2022年 60卷 1页
作者: Shi, Shuaikai Zhao, Min Zhang, Lijun Altmann, Yoann Chen, Jie Northwestern Polytech Univ Sch Marine Sci & Technol Ctr Intelligent Acoust & Immers Commun Xian 710072 Peoples R China Minist Ind & Informat Technol Key Lab Ocean Acoust & Sensing Xian 710072 Peoples R China Heriot Watt Univ Sch Engn & Phys Sci Edinburgh EH14 4AS Midlothian Scotland
The complex nature of hyperspectral images makes the analysis of spectral signatures a challenging task in remote sensing. For quantitative analysis, spectral unmixing is a well-established and effective tool to analy... 详细信息
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Semantic Annotation of Relational Schemas Using a probabilistic generative model  24
Semantic Annotation of Relational Schemas Using a Probabilis...
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7th ACM India Joint International Conference on Data Science and Management of Data (CODS-COMAD) / 11th ACM IKDD CODS Conference / 29th COMAD Conference
作者: Mukherjee, Debayan Bandyopadhyay, Atreya Datta, Soham Bhattacharya, Indrajit TCS Res Chennai Tamil Nadu India
Data in enterprises resides largely under relational schemas. Annotating such schemas with a knowledge graph (KG) that represents knowledge of the domain is useful for semantic understanding of the data as well as dow... 详细信息
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Brain-inspired probabilistic generative model for double articulation analysis of spoken language
Brain-inspired probabilistic generative model for double art...
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IEEE International Conference on Development and Learning (ICDL)
作者: Taniguchi, Akira Muro, Maoko Yamakawa, Hiroshi Taniguchi, Tadahiro Ritsumeikan Univ Coll Informat Sci & Engn Kusatsu Shiga Japan Ritsumeikan Univ Grad Sch Informat Sci & Engn Kusatsu Shiga Japan Univ Tokyo RIKEN Whole Brain Architecture Initiat Taito Ku Tokyo Japan
The human brain, among its several functions, analyzes the double articulation structure in spoken language, i.e., double articulation analysis (DAA). A hierarchical structure in which words are connected to form a se... 详细信息
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User Activity Estimation Method Based on probabilistic generative model of Acoustic Event Sequence with User Activity and Its Subordinate Categories
User Activity Estimation Method Based on Probabilistic Gener...
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14th Annual Conference of the International-Speech-Communication-Association (INTERSPEECH 2013)
作者: Imoto, Keisuke Shimauchi, Suehiro Uematsu, Hisashi Ohmuro, Hitoshi NTT Corp NTT Media Intelligence Labs Tokyo Japan
We propose a method for estimating user activities by analyzing long-term (more than several seconds) acoustic signals represented as acoustic event temporal sequences. The proposed method is based on a probabilistic ... 详细信息
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Learning the progression patterns of treatments using a probabilistic generative model
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JOURNAL OF BIOMEDICAL INFORMATICS 2023年 137卷 104271页
作者: Zaballa, Onintze Perez, Aritz Gomez Inhiesto, Elisa Ayesta, Teresa Acaiturri Lozano, Jose A. BCAM Basque Ctr Appl Math Bilbao 48009 Spain Hosp Univ Cruces Baracaldo 48903 Spain Univ Basque Country UPV EHU Dept Comp Sci & Artificial Intelligence Intelligent Syst Grp Donostia San Sebastian 20018 Spain
modeling a disease or the treatment of a patient has drawn much attention in recent years due to the vast amount of information that Electronic Health Records contain. This paper presents a probabilistic generative mo... 详细信息
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