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Introduction to Formal Concept Analysis and Its Applications in Information Retrieval and Related Fields [chapter]

Dmitry I. Ignatov
2015 Communications in Computer and Information Science  
, Text Mining and several others.  ...  Since the tutorial was specially prepared for RuSSIR 2014, the covered FCA topics include Information Retrieval with a focus on visualisation aspects, Machine Learning, Data Mining and Knowledge Discovery  ...  and lattices of closed descriptions" supported by the Basic Research Program of the National Research University Higher School of Economics.  ... 
doi:10.1007/978-3-319-25485-2_3 fatcat:m2zad3btkjhkja2mdwmjfbkahi

Bioinformatics: Organisms from Venus, Technology from Jupiter, Algorithms from Mars

Bart De Moor, Kathleen Marchal, Janick Mathys, Yves Moreau
2003 European Journal of Control  
In this paper, we discuss datasets that are being generated by microarray technology, which makes it possible to measure in parallel the activity or expression of thousands of genes simultaneously.  ...  This year 2003 marks the 50 th anniversary of the discovery of the double helix structure of DNA, the basic building structure of all living organisms, by Crick and Watson, in the 1 page landmark paper  ...  by the probability that the segment is generated by the background model.  ... 
doi:10.3166/ejc.9.237-278 fatcat:w26h4jvugjg35abzgqctb2yubi

Table of Contents

2021 IEEE Signal Processing Letters  
Guo Fine-Grained Image-Text Retrieval via Discriminative Latent Space Learning . . . . . . . . . . . M. Zheng, W. Wang, and Q.  ...  Wu Biclustering Collaborative Learning for Cross-Domain Person Re-Identification . . . . . .Z. Pang, J. Guo, W. Sun, and S.  ... 
doi:10.1109/lsp.2021.3134549 fatcat:m6obtl7k7zdqvd62eo3c4tptfy

Machine learning methods for multimedia information retrieval [article]

Bálint Zoltán Daróczy
2017 pre-print
In this thesis we examined several multimodal feature extraction and learning methods for retrieval and classification purposes.  ...  We examined different aspects of the multimodal image retrieval and classification in Section 5 and suggested methods for identifying quality assessments of Web documents in Section 6.  ...  Next we show two multimodal results where the modalities are combined by biclustering only.  ... 
doi:10.15476/elte.2016.086 arXiv:1705.04964v1 fatcat:ccvjysaxpjfbbkq3di4qmtwqpy

2021 Index IEEE Signal Processing Letters Vol. 28

2021 IEEE Signal Processing Letters  
The primary entry includes the coauthors' names, the title of the paper or other item, and its location, specified by the publication abbreviation, year, month, and inclusive pagination.  ...  Lin, X., +, LSP 2021 1719-1723 Fine-Grained Image-Text Retrieval via Discriminative Latent Space Learning.  ...  Parashar, D., +, LSP 2021 66-70 Biclustering Collaborative Learning for Cross-Domain Person Re-Identifi-cation. Pang, Z., +, LSP 2021 2142-2146 Blind Image Quality Assessment by Visual Neuron Matrix.  ... 
doi:10.1109/lsp.2022.3145253 fatcat:a3xqvok75vgepcckwnhh2mty74

Table of Contents

2021 IEEE Signal Processing Letters  
Georgiou Fine-Grained Image-Text Retrieval via Discriminative Latent Space Learning . . . . . . . . . ..M. Zheng, W. Wang, and Q.  ...  Chen Biclustering Collaborative Learning for Cross-Domain Person Re-Identification . . . . . .Z. Pang, J. Guo, W. Sun, and S.  ... 
doi:10.1109/lsp.2021.3134551 fatcat:ab4b4tb5rrcu5cq6aifdekrizq

Improving the quality of K-NN graphs through vector sparsification: application to image databases

Michael E. Houle, Xiguo Ma, Vincent Oria, Jichao Sun
2014 International Journal of Multimedia Information Retrieval  
These techniques are then applied to image applications such as content-based image retrieval and image label propagation.  ...  By using only the selected features to compute the edges leading from labeled image nodes to unlabeled image nodes, better annotation accuracy can be achieved.  ...  Most region-based approaches rely heavily on image segmentation techniques. An imperfect segmentation often leads to poor retrieval performance.  ... 
doi:10.1007/s13735-014-0067-7 fatcat:2w3k3fcexjax5i6h42hqqcrtzi

Social networking data analysis tools & challenges

Androniki Sapountzi, Kostas E. Psannis
2018 Future generations computer systems  
The survey demonstrates challenges and future directions with a focus on text mining and the promising avenue of computational intelligence.  ...  Researchers combine the friendships (immediate) among users by selecting the most 'suitable set of friends' with a biclustering algorithm'.  ...  Only three papers, that all come through multimodal SA extracted the sentiment from text analysis in an unsupervised way using sentic computing paradigm and specifically by combining feedforward ANN's  ... 
doi:10.1016/j.future.2016.10.019 fatcat:cqlp423pv5heplujb63qo7c6yq

Recent Advances in Artificial Immune Systems: Models and Applications

Dipankar Dasgupta, Senhua Yu, Fernando Nino
2011 Applied Soft Computing  
Though an extensive amount of AIS applications has been developed, the success of these applications is still limited by the lack of any exemplars that really stand out as killer AIS applications.  ...  By randomly choosing one row and one column of the dataset, MOM-aiNet first generates n subpopulations of one bicluster.  ...  Biclustering can produce arbitrarily positioned and possibly overlapping biclusters, which is the case of MOM-aiNet.  ... 
doi:10.1016/j.asoc.2010.08.024 fatcat:utgvstpp75e27h3whu7kn2voae

Bicluster Analysis of Biomedical Data based on Multi-objective Evolutionary Optimization

Maryam Golchin, University, My, Wee-Chung Liew
Biclustering has found many useful applications for visualization and exploratory analysis in various fields such as knowledge discovery, data mining, pattern classification, information retrieval, collaborative  ...  biclusters.  ...  Multimodal data are data that includes different modality such as audio, image, and text.  ... 
doi:10.25904/1912/2189 fatcat:icmvlneijncafcwsryua4l7ztm

Scalability in Multiobjective Optimization (Dagstuhl Seminar 20031)

Carlos M. Fonseca, Kathrin Klamroth, Günter Rudolph, Margaret M. Wiecek
2020 Dagstuhl Reports  
In [4] , a spectral co-clustering algorithm is proposed for a text mining problem. In the next section, we use a Python implementation of the biclustering algorithm of [8] .  ...  Figure 14 14 Optimal solution set (outlined with a red segment) for a triobjective optimization problem defined by three quadratic functions as objectives.  ... 
doi:10.4230/dagrep.10.1.52 dblp:journals/dagstuhl-reports/FonsecaKRW20 fatcat:aicmczzbtjftdkjbry2m5nulge

Editorial message for the special track on embedded systems

Alessio Bechini, François Bodin, Cosimo Antonio Prete
2005 Proceedings of the 2005 ACM symposium on Applied computing - SAC '05  
; Recovery and use of logical structure for retrieval; Relevance feedback techniques for document retrieval; Cross-language and multi-lingual retrieval; Categorization and summarization of text documents  ...  and imaged documents; Keyword spotting in document images; Approximate string matching algorithms for OCR text; Non-textual retrieval methods; Image and multimedia search; Interfaces for retrieval; Benchmarking  ...  These sources of data are characterized by being open-ended, with data flowing at high-speed, and generated by non stationary distributions.  ... 
doi:10.1145/1066677.1066869 dblp:conf/sac/BechiniBP05 fatcat:tggnuougwzbehkpg7je6ulhf3y

A framework for GPU-based application-independent 3D interactions

Harlen Costa Batagelo, Shin-Ting Wu
2008 The Visual Computer  
Keywords: biclustering technique, ant-based systems Engenharia de Computação A Framework for Information Retrieval Based on Fuzzy Relations and Multiple Ontologies Maria Angelica de Andrade Leite  ...  Alternatively, what this work proposes is the computation of a tensorial morphological gradient of DTI, and its segmentation by IFTbased watershed transform.  ... 
doi:10.1007/s00371-008-0296-y fatcat:sl3f6lyyancmdgb3v7kysceuvq

CLA 2014 CLA Conference Series CLA 2014 Volume editors Steering Committee Program Chairs Program Committee Additional Reviewers Organization Committee

Karell Bertet, Sebastian Rudolph, Karell Bertet, Sebastian Rudolph, Sebastian Rudolph, Radim Bělohlávek, Ben Sadok, Yahia, Jean Diatta, Sergei Kuznetsov, Engelbert Nguifo, Manuel Ojeda (+54 others)
Proceedings P. J. ˇ Safárik University   unpublished
Acknowledgements Supported by grant TIN2011-28084 of the Science and Innovation Ministry of Spain, co-funded by the European Regional Development Fund (ERDF).  ...  This work has been supported by the CUTTER ANR-10-BLAN-0219 project.  ...  In dyadic case biclustering methods (the term bicluster was coined by B.  ... 

Visual analytics of epidemiological and multi-omics data [article]

Shiva Alemzadeh, Universitäts- Und Landesbibliothek Sachsen-Anhalt, Martin-Luther Universität, Bernhard Preim
The information from the individuals is acquired by having interviews, e.g. asking questions about their habits examinations and doing to find out the current health condition of individuals.  ...  (c) The stored sub-cohorts can be retrieved from the database for further investigation.  ...  It allows the analyst to explore the results of biclustering by following each cluster transition over time.  ... 
doi:10.25673/37216 fatcat:xzon7fvut5f4dmuacsizfumhem
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