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The Isaacs corresponding blocks of finite groups(Group Theory and Related Topics)

open access: yesThe Isaacs corresponding blocks of finite groups(Group Theory and Related Topics)
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ON BOUNDARY CORRESPONDENCE IN CONFORMAL MAPPING(Topics in Univalent Functions and Its Applications)

open access: yesON BOUNDARY CORRESPONDENCE IN CONFORMAL MAPPING(Topics in Univalent Functions and Its Applications)
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ON THETA CORRESPONDENCES FOR (GSp$_4$, GSO$_{4,2}$) (Automorphic Representations and Related Topics)

open access: yesON THETA CORRESPONDENCES FOR (GSp$_4$, GSO$_{4,2}$) (Automorphic Representations and Related Topics)
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SPRINGER CORRESPONDENCE FOR DISCONNECTED REDUCTIVE GROUPS (Combinatorial Representation Theory and Related Topics)

open access: yesSPRINGER CORRESPONDENCE FOR DISCONNECTED REDUCTIVE GROUPS (Combinatorial Representation Theory and Related Topics)
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Dual Triggered Correspondence Topic (DTCT)model for MeSH annotation

IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2022
Accurate Medical Subject Headings (MeSH)annotation is an important issue for researchers in terms of effective information retrieval and knowledge discovery in the biomedical literature. We have developed a powerful dual triggered correspondence topic (DTCT)model for MeSH annotated articles.
Seon-Ho Kim, Juntae Yoon, Seonho Kim
exaly   +3 more sources

Encoding Local Correspondence in Topic Models

2013 IEEE 25th International Conference on Tools with Artificial Intelligence, 2013
Exploiting label correlations is a challenging and crucial problem especially in multi-label learning context. Labels correlations are not necessarily shared by all instances and have generally a local definition. This paper introduces LOC-LDA, which is a latent variable model that adresses the problem of modeling annotated data by locally exploiting ...
El Mehdi Rochd   +2 more
exaly   +2 more sources

Featured correspondence topic model for semantic search on social image collections

Expert Systems With Applications, 2017
A new framework to retrieve semantically relevant images from the social database.Probabilistic topic model to predict the missing tags and remove the noisy ones.Two algorithms for the estimation of model parameters and tag correspondence.The scoring scheme relies on the fusion of visual and textual information.The outperformance of image annotation ...
Nguyen Anh Tu   +2 more
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Nonparametric Symmetric Correspondence Topic Models for Multilingual Text Analysis

Lecture Notes in Computer Science, 2015
Topic model aims to analyze collection of documents and has been widely used in the fields of machine learning and natural language processing. Recently, researchers proposed some topic models for multilingual parallel or comparable documents. The symmetric correspondence Latent Dirichlet Allocation SymCorrLDA is one such model.
Miaohong Chen, Houfeng Wang
exaly   +2 more sources

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