Scalable tensor factorizations for incomplete data
نویسندگان
چکیده
منابع مشابه
Scalable Tensor Factorizations for Incomplete Data
The problem of incomplete data—i.e., data with missing or unknown values—in multi-way arrays is ubiquitous in biomedical signal processing, network traffic analysis, bibliometrics, social network analysis, chemometrics, computer vision, communication networks, etc. We consider the problem of how to factorize data sets with missing values with the goal of capturing the underlying latent structur...
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The problem of missing data is ubiquitous in domains such as biomedical signal processing, network traffic analysis, bibliometrics, social network analysis, chemometrics, computer vision, and communication networks—all domains in which data collection is subject to occasional errors. Moreover, these data sets can be quite large and have more than two axes of variation, e.g., sender, receiver, t...
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ژورنال
عنوان ژورنال: Chemometrics and Intelligent Laboratory Systems
سال: 2011
ISSN: 0169-7439
DOI: 10.1016/j.chemolab.2010.08.004