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Distributed dictionary learning over a sensor network [PDF]
6 pagesNational audienceWe consider the problem of distributed dictionary learning, where a set of nodes is required to collec- tively learn a common dictionary from noisy measure- ments. This approach may be useful in several con- texts including sensor
Chainais, Pierre, Richard, Cédric
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Online multidimensional dictionary learning
Dictionary learning is a widely used technique in signal processing and machine learning that aims to represent data as a linear combination of a few elements from an overcomplete dictionary. In this work, we propose a generalization of the dictionary learning technique using the t-product framework, enabling efficient handling of multidimensional ...
Ferdaous Ait Addi +2 more
openaire +2 more sources
Dictionary Usage In English Language Learning
This article examined about the important of using dictionary in English language learning. We cannot deny in learning a foreign language, we need to consult a dictionary.
Rohmatillah, Rohmatillah
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Abstract Human dissection is a foundational component of medical education, yet it places students in profound ethical tension between scientific objectification and respect for human dignity. While prior studies have documented students' emotional responses, the structural transformation of their moral narratives over time, particularly within non ...
Jun‐Ki Lee +2 more
wiley +1 more source
As a powerful tool for sparse signal representation, dictionary learning has gained traction in data-driven fault diagnosis. However, noise interference exists in actual industrial environments; noise as a common feature across all classes inevitably ...
Licheng Jing +4 more
doaj +1 more source
Non-Negative Tensor Dictionary Learning
International audienceA challenge faced by dictionary learning and non-negative matrix factorization is to efficiently model, in a context of feature learning, temporal patterns for data presenting sequential (two-dimensional) structure such as ...
Berar, Maxime +2 more
core
Abstract The issue of inequality caused by algorithms, termed ‘algorithmic inequality’, has recently attracted scholarly attention in many disciplines due to its profound implications for society. While the body of literature on algorithmic inequality has grown, there remains a lack of comprehensive understanding of its nature, drivers, and impact ...
Shiwei Jia, Jia Tina Du, Hui Yan
wiley +1 more source
The encyclopa︠e︡dia Japonica; a dictionary of commerce.
Binder's title: Encyclopedic-dictionary of commerce.Added t.-p.
Encyclopedic-dictionary of Commerce.
core
Aims This real‐world pharmacovigilance study utilizes FDA Adverse Event Reporting System (FAERS) data (2004–2024) to characterize age‐related disparities in hydroxychloroquine (HCQ)‐associated adverse events (AEs), addressing gaps in age‐stratified risk assessment. Methods Disproportionality analysis (reporting odds ratios, RORs) and parametric Weibull
Guanghan Sun +4 more
wiley +1 more source
Abstract In England, schools receive additional annual funding in proportion to the number of disadvantaged students that they enrol. This Pupil Premium funding is allocated by schools to help overcome educational disadvantage. According to Department for Education regulations, schools must report the evidence underpinning their spending allocations ...
Wenqing Chen +2 more
wiley +1 more source

