Coherent structure identification in turbulent channel flow using latent Dirichlet allocation
نویسندگان
چکیده
Abstract
منابع مشابه
Identification of Novel Type III Effectors Using Latent Dirichlet Allocation
Among the six secretion systems identified in Gram-negative bacteria, the type III secretion system (T3SS) plays important roles in the disease development of pathogens. T3SS has attracted a great deal of research interests. However, the secretion mechanism has not been fully understood yet. Especially, the identification of effectors (secreted proteins) is an important and challenging task. Th...
متن کاملTCF21 Binding Sites Characterization using Latent Dirichlet Allocation TCF21 Binding Sites Characterization using Latent Dirichlet Allocation
Transcription factors play multiple roles in cell activity and gene expression, and discovering these roles often requires experimentation in a wet lab. We hope to bypass this process computationally by using topic modeling to infer the myriad of functions of a given transcription factor. Specifically, we apply Latent Dirichlet Allocation (LDA) to all peaks derived from running ChIP-seq on TCF2...
متن کاملSpatial Latent Dirichlet Allocation
In recent years, the language model Latent Dirichlet Allocation (LDA), which clusters co-occurring words into topics, has been widely applied in the computer vision field. However, many of these applications have difficulty with modeling the spatial and temporal structure among visual words, since LDA assumes that a document is a “bag-of-words”. It is also critical to properly design “words” an...
متن کاملLegal Documents Clustering using Latent Dirichlet Allocation
At present due to the availability of large amount of legal judgments in the digital form creates opportunities and challenges for both the legal community and for information technology researchers. This development needs assistance in organizing, analyzing, retrieving and presenting this content in a helpful and distributed manner. We propose an approach to cluster legal judgments based on th...
متن کاملLatent Dirichlet Allocation
We propose a generative model for text and other collections of discrete data that generalizes or improves on several previous models including naive Bayes/unigram, mixture of unigrams [6], and Hofmann's aspect model , also known as probabilistic latent semantic indexing (pLSI) [3]. In the context of text modeling, our model posits that each document is generated as a mixture of topics, where t...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of Fluid Mechanics
سال: 2021
ISSN: ['0022-1120', '1469-7645']
DOI: https://doi.org/10.1017/jfm.2021.444