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On using genetic algorithms for multimodal relevance optimization in information retrieval

M. Boughanem, C. Chrisment, L. Tamine
2002 Journal of the American Society for Information Science and Technology  
The process uses genetic techniques for solving multimodal problems (niching) and query reformulation techniques commonly used in information retrieval.  ...  This paper presents a genetic relevance optimisation process performed in an information retrieval system.  ...  For this reason, we characterise the relevance optimisation problem as multimodal and thus propose the use of suitable genetic techniques to handle the process of information retrieval.  ... 
doi:10.1002/asi.10119 fatcat:3fqzqsbnnvafdb2o57ntiz7dpi

Construction of Swimmer's Underwater Posture Training Model Based on Multimodal Neural Network Model

Wei Wen, Tingyu Yang, Yanhao Fu, Siwen Liu, Gengxin Sun
2022 Computational Intelligence and Neuroscience  
adaptive genetic algorithm is constructed to perform multimodal information fusion to ensure the effectiveness of the system in the face of complex information.  ...  In this paper, a multimodal information fusion method based on evolutionary neural network is proposed, and an intelligent perception information processing model of the intelligent subject system is constructed  ...  Acknowledgments is work was supported by funding for basic scientific research of Chinese University (grant no. 2018GJ020).  ... 
doi:10.1155/2022/1134558 pmid:35449735 pmcid:PMC9017539 fatcat:pj3u56xdxvcq5nfjksfqbpsk7e

Opponent Color And Curvelet Transform Based Image Retrieval System Using Genetic Algorithm

Yesubai Rubavathi Charles, Ravi Ramraj
2015 Zenodo  
To address this concern, genetic algorithm combined with relevance feedback is embedded to reduce semantic gap and retrieve user's preference images.  ...  In order to retrieve images efficiently from a large database, a unique method integrating color and texture features using genetic programming has been proposed.  ...  Tremendous papers have been presented for semantic image retrieval including genetic programming, support vector machine, multimodal retrieval, and relevance feedback in [35] - [45] .  ... 
doi:10.5281/zenodo.1110855 fatcat:brbdlrlpwvbftenhvblwsjqery

Personalized Smart Clothing Design Based on Multimodal Visual Data Detection

Haijuan Deng, Minglong Liu, Gengxin Sun
2022 Computational Intelligence and Neuroscience  
Image retrieval model based on image-text multimodal correlation features: this paper uses image-text multimodal correlation features to calculate the correlation between query keywords and images, and  ...  In this paper, we propose a novel multitask deep convolutional neural network training method for task-by-task transfer learning, and learn deep image features for image retrieval tasks on noisy user click  ...  Image Retrieval Model Based on Multimodal Correlation Features.  ... 
doi:10.1155/2022/4440652 pmid:35371253 pmcid:PMC8970936 fatcat:hrdap4hz6jf6hckz7rtin3os2m

Query optimisation using an improved genetic algorithm

L. Tamine, M. Boughanem
2000 Proceedings of the ninth international conference on Information and knowledge management - CIKM '00  
This paper presents an approach to intelligent information retrieval based on genetic heuristics.  ...  Recent search has shown that applying genetic models for query optimisation improve the retrieval effectiveness.  ...  OVERVIEW OF GENETIC ALGORITHMS IN INFORMATION RETRIEVAL Genetic algorithms [8] are stochastic optimisation methods based on principles of evolution and heredity.  ... 
doi:10.1145/354756.354842 dblp:conf/cikm/BoughanemT00 fatcat:jaf65zhysbff5bqknnz4mzsskq

A semi-supervised learning algorithm for relevance feedback and collaborative image retrieval

Daniel Carlos Guimarães Pedronette, Rodrigo T. Calumby, Ricardo da S. Torres
2015 EURASIP Journal on Image and Video Processing  
One traditional approach for supporting such interactive search relies on exploiting relevance feedbacks (RF) in the searching process.  ...  Similar results are also observed in experiments considering multimodal image retrieval tasks.  ...  An approach for collaborative image retrieval using multiclass relevance feedback and Particle Swarm Optimization classifier is proposed in [31] .  ... 
doi:10.1186/s13640-015-0081-6 fatcat:uinx4wos7fab3o2gnwywdlrq7a

Rank Fusion and Multimodal Per-topic Adaptiveness for Diverse Image Retrieval

Rodrigo Tripodi Calumby, Iago Breno Alves do Carmo Araujo, Felipe Souza Cordeiro, Fabiana Bertoni, Sérgio D. Canuto, Fabiano Belém, Marcos André Gonçalves, Ícaro C. Dourado, Javier Munoz, Lin Li, Ricardo da Silva Torres
2017 MediaEval Benchmarking Initiative for Multimedia Evaluation  
We applied Genetic Programming and Genetic Algorithm-based approaches for combining textual, visual, and user credibility information.  ...  Our proposal for relevance improvement relies on text and credibility-based reranking and rank aggregation.  ...  ACKNOWLEDGMENTS The authors thank FAPESP, FAPEMIG, CAPES, CNPq, and FAPESB (grant #4098/2016) for partially funding this work.  ... 
dblp:conf/mediaeval/CalumbyACBCBGDM17 fatcat:gdhyped7zbe4hdpit6ilacnl54

A Study on Using Genetic Niching for Query Optimisation in Document Retrieval [chapter]

Mohand Boughanem, Lynda Tamine
2002 Lecture Notes in Computer Science  
This paper presents a new genetic approach for query optimisation in document retrieval.  ...  Experimental results obtained using a TREC sub-collection indicate that the proposed approach is promising for applications.  ...  Conclusion In this paper, we have described a genetic approach for query optimisation in information retrieval.  ... 
doi:10.1007/3-540-45886-7_10 fatcat:dy733n5gcjbxdisgcrlrg6egla

Quaero at TRECVID 2010: Semantic Indexing

Bahjat Safadi, Yubing Tong, Franck Thollard, Georges Quénot, Tobias Gehrig, Hazim Kemal Ekenel, Rainer Stiefelhagen
2010 TREC Video Retrieval Evaluation  
Four runs were submitted corresponding to the use or not of genetic algorithmbased fusion and of two distinct fusion optimization methods.  ...  We organized as in 2007-2009 the collaborative annotation for this task using an active learning approach.  ...  Some results from the IRIM network were also used in these experiments.  ... 
dblp:conf/trecvid/SafadiTTQGES10 fatcat:yuutxurobfer7k5lvtermpz4di

A Review of Multi-objective Evolutionary Algorithms for Information Retrieval System

2020 International Journal of Emerging Trends in Engineering Research  
Information retrieval systems (IRSs) presentation is generally calculated using two special principles, accuracy and analysis.  ...  Exactness is the proportion of appropriate documents retrieved by the Information Retrieval System to the overall number of archives retrieved in the context of a client's inquiry; while review is the  ...  A Review of Multi-objective Evolutionary Algorithms for Information Retrieval System  ... 
doi:10.30534/ijeter/2020/1458102020 fatcat:qme6cftpv5eilpez7bqerc6ixy

Multiple query evaluation based on an enhanced genetic algorithm

Lynda Tamine, Claude Chrisment, Mohand Boughanem
2003 Information Processing & Management  
Indeed, the approach uses a niching technique to solve the relevance multimodality problem, a relevance feedback technique to perform genetic transformations on query formulations and evolution heuristics  ...  Recent studies suggest that significant improvement in information retrieval performance can be achieved by combining multiple representations of an information need.  ...  In traditional IR, a single retrieval algorithm is used in order to perform this task.  ... 
doi:10.1016/s0306-4573(02)00048-1 fatcat:dbodc6hehnh3tbv27iq7ad7lry

A review on the application of evolutionary computation to information retrieval

O. Cordón, E. Herrera-Viedma, C. López-Pujalte, M. Luque, C. Zarco
2003 International Journal of Approximate Reasoning  
In this contribution, different proposals found in the specialized literature for the application of evolutionary computation to the field of information retrieval will be reviewed.  ...  To do so, different kinds of IR problems that have been solved by evolutionary algorithms are analyzed.  ...  s proposals [6] [7] [8] are based on the use of genetic techniques for solving multimodal problems.  ... 
doi:10.1016/j.ijar.2003.07.010 fatcat:iyccqeqltnbbzcul5aggjbnehm

Emerging Trends in Reducing Semantic Gap towards Multimedia Access: A Comprehensive Survey

Aijazahamed Qazi, R. H. Goudar
2016 Indian Journal of Science and Technology  
Application/Improvement: Use of Description logics increases the efficiency of semantic retrieval.  ...  This paper includes the recent trends in accessing the information in semantic web and reducing semantic gap.  ...  and sharing algorithms to retrieve the information from multiple sources. • Adaptive Personalization: Intelligent web personalization techniques in semantic can be developed for communicating information  ... 
doi:10.17485/ijst/2016/v9i30/99072 fatcat:asnamx3urveabjyritsri3guuy

Evolving Ensembles of Feature Subsets towards Optimal Feature Selection for Unsupervised and Semi-supervised Clustering [chapter]

Mihaela Elena Breaban
2010 Lecture Notes in Computer Science  
The method makes use of an ensemble of near-optimal feature subsets delivered by a multi-modal genetic algorithm in order to quantify the relative importance of each feature to clustering.  ...  The benefits of a semi-supervised approach making use of reduced external information are highlighted against an unsupervised approach.  ...  Acknowledgements We would like to thank Julia Handl and Joshua Knowles for supplying us with the data sets investigated in the experimental section and with the results they obtained, making thus possible  ... 
doi:10.1007/978-3-642-13025-0_8 fatcat:u46pj4fsxngihctwg7eixdv6wa

A RELIEF-based modality weighting approach for multimodal information retrieval

Turgay Yilmaz, Elvan Gulen, Adnan Yazici, Masaru Kitsuregawa
2012 Proceedings of the 2nd ACM International Conference on Multimedia Retrieval - ICMR '12  
Despite the extensive number of studies for multimodal information fusion, the issue of determining the optimal modalities has not been adequately addressed yet.  ...  The original RELIEF algorithm is extended for weaknesses in three major issues; multilabeled data, noise and class-specific feature selection.  ...  CONCLUSION In this paper, a new RELIEF extension, namely RELIEF-RDR, for utilization in multimodal information retrieval is proposed.  ... 
doi:10.1145/2324796.2324858 dblp:conf/mir/YilmazGYK12 fatcat:krifz4ektnh5dmuuprj2h7inye
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