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A Hybrid Approach for CBIR using SVM Classifier, Partical Swarm Optimizer with Mahalanobis Formula
2015
International Journal of Computer Applications
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Set of low-Level visual features (Color, Shape and Texture) are used to represent an image in most modern content based image retrieval systems. ...
To retrieve several features of images and shorten the semantic gap between low-level visual feature and high-level perception a Hybrid support vector machine (SVM) scheme is proposed in this paper. ...
After that in the figure 5.2.4 its shows that the comparatitive graph analysis of the both method with the help of 3D bar graph. ...
doi:10.5120/19587-1349
fatcat:3uarrmqibfcnzb3kx4e2hfqho4
SIMPLIcity: semantics-sensitive integrated matching for picture libraries
2001
IEEE Transactions on Pattern Analysis and Machine Intelligence
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AbstractÐThe need for efficient content-based image retrieval has increased tremendously in many application areas such as biomedicine, military, commerce, education, and Web image classification and searching ...
and 3) enables a simple querying interface for region-based image retrieval systems. ...
ACKNOWLEDGMENTS This work was supported in part by the US National Science Foundation under grant IIS-9817511. Research was performed while J.Z. Wang and J. Li were at Stanford University. ...
doi:10.1109/34.955109
fatcat:zgu2pq5xuvetxnjmvfedol5d7q
SIMPLIcity: Semantics-sensitive Integrated Matching for Picture LIbraries
[chapter]
2000
Lecture Notes in Computer Science
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AbstractÐThe need for efficient content-based image retrieval has increased tremendously in many application areas such as biomedicine, military, commerce, education, and Web image classification and searching ...
and 3) enables a simple querying interface for region-based image retrieval systems. ...
ACKNOWLEDGMENTS This work was supported in part by the US National Science Foundation under grant IIS-9817511. Research was performed while J.Z. Wang and J. Li were at Stanford University. ...
doi:10.1007/3-540-40053-2_32
fatcat:a76lhf546bhytojnfvplvasqhe
Provenance Context Entity (PaCE): Scalable Provenance Tracking for Scientific RDF Data
[chapter]
2010
Lecture Notes in Computer Science
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In addition, performance for complex queries improves by three orders of magnitude and remains comparable to the RDF reification approach for simpler provenance queries. ...
The Resource Description Framework (RDF) format is being used by a large number of scientific applications to store and disseminate their datasets. ...
This research was supported in part by the Intramural Research Program of the National Institutes of Health (NIH), National Library of Medicine (NLM) and the NIH RO1 Grant# 1R01HL087795-01A1. ...
doi:10.1007/978-3-642-13818-8_32
pmid:25621321
pmcid:PMC4303908
fatcat:dsfbt4aqhnehbe7x3eujbas7ke
IRM
2000
Proceedings of the eighth ACM international conference on Multimedia - MULTIMEDIA '00
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Compared with several existing systems, our system in general achieves more accurate retrieval at higher speed. ...
a simple querying interface for region-based image retrieval systems. ...
Fast indexing has provided us with the capability of handling outside queries and sketch queries in real-time. The matching speed is very fast. ...
doi:10.1145/354384.354452
dblp:conf/mm/LiWW00
fatcat:4ca76mweobetpbj4t373vh7nxe
DegreEmbed: incorporating entity embedding into logic rule learning for knowledge graph reasoning
[article]
2021
arXiv
pre-print
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In this paper, we propose DegreEmbed, a model that combines embedding-based learning and logic rule mining for inferring on KGs. ...
However, due to the nature of rapid iteration as well as incompleteness of data, KGs are usually huge and there are inevitably missing facts in KGs. ...
An example of KG containing heterogeneous entities and relations: paper, person and institution. Entities in different colors mark their type. ...
arXiv:2112.09933v1
fatcat:ar3sae45frcylownkrhu3ndqoy
Content based Image Retrieval using SVM-ID3
2014
International Journal of Computer Applications
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In this ID3 (Decision Tree) based support vector machine (SVM) method proposed to retrieve several features and shorten the semantic gap between lowlevel visual feature and high-level perception. ...
Content-based image retrieval (CBIR) systems aim to return the most relevant images in a database, according to the user's opinion for a given query. ...
After that in the figure 5.2.4 its shows that the comparatitive graph analysis of the both method with the help of 3D bar graph. ...
doi:10.5120/15303-4074
fatcat:polcgfzq6zeydl6lqoonsektr4
A comparative implementation of Content Based Image Retrieval techniques in Wavelet and Cosine domains
2014
IOSR Journal of Electronics and Communication Engineering
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Content Based Image Retrieval generally uses the key feature of the image such as color, shape, texture to represent and index the image. ...
This gives the minimum difference, now this applied to database features and output comes in the form of re-rank image. ...
Queries are then answered by computing some sets of features for the input image and retrieving those stored images whose features nearly matched with the input. ...
doi:10.9790/2834-09272530
fatcat:cc3wf55txjeprawkuj3ta3hfo4
Facial Image Retrieval through Compound Queries Using Constrained Independent Component Analysis
2007
19th IEEE International Conference on Tools with Artificial Intelligence(ICTAI 2007)
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It can cater for queries formulated from both single and multiple examples, for achieving higher accuracy. ...
In this work we present a new technique of facial-image retrieval using constrained independent component analysis (cICA). ...
Indexing of large databases of images for efficient retrieval is crucial for various domains such as journalism, biomedicine, forensics etc. ...
doi:10.1109/ictai.2007.60
dblp:conf/ictai/AhmedRLLK07
fatcat:o2olqxkhazf53bhvnlgzz2ggge
WESgraph: a graph database for the wind farm domain
2020
Wind Energy Science
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This paper presents the structure of this graph database – content stored in nodes and the relationships between them – as a foundational ontology, which classifies the domain's concepts. ...
It also contains a description of our practical experience with its design and use as well as our thoughts about the community use and management of this tool. ...
We had fruitful discussions with Amir Birjandi (currently at Green Kappa Consulting and Technology Inc.) concerning WESgraph while he was on a research visit to our research group in 2016. ...
doi:10.5194/wes-5-259-2020
fatcat:irjcgnpq3fdkjfa6dzmsrrwurm
Biomedical literature classification with a CNNs-based hybrid learning network
2018
PLoS ONE
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) merges global (the entity in each document) and local information through its training with undirected connections. ...
In this paper, we propose a Boltzmann Convolutional neural network framework (B-CNN) for biomedicine semantic indexing. ...
This is especially the case when dealing with a large number of labels and a massive number of biomedicine documents. ...
doi:10.1371/journal.pone.0197933
pmid:30048461
pmcid:PMC6061982
fatcat:yarhcljdyna35hcnekwhcin7uu
Towards Machine Learning on the Semantic Web
[chapter]
2008
Lecture Notes in Computer Science
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Machine learning will increasingly be employed to analyze distributed data sources described in Semantic Web formats and to support approximate Semantic Web reasoning and querying. ...
In this paper we discuss existing and future applications of machine learning on the Semantic Web with a strong focus on learning algorithms that are suitable for the relational character of the Semantic ...
Acknowledgements: We acknowledge funding by the German Federal Ministry of Economy and Technology (BMWi) under the THESEUS project and by the EU FP 7 Large-Scale Integrating Project LarKC. ...
doi:10.1007/978-3-540-89765-1_17
fatcat:ixm5kgibajgmvohdfffo43cijm
Clustering approaches for visual knowledge exploration in molecular interaction networks
2018
BMC Bioinformatics
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Combining these structured information sources is an important computational challenge, as large graphs are difficult to analyze visually. ...
We employ clustering with these metrics used separately and in pairwise combinations. ...
The funding body did not play any role in the ...
doi:10.1186/s12859-018-2314-z
pmid:30157777
fatcat:zeiddgw2bnhgzhyva2nhq3s7ua
Visualization of Tensor Fields in Mechanics
2021
Computer graphics forum (Print)
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Visualization can be beneficial here and is frequently used by domain experts. Typical strategies include the use of glyphs, color plots, lines, and isosurfaces. ...
However, data complexity is nowadays accompanied by the sheer amount of data produced by large-scale simulations and adds another level of obstruction between user and data. ...
Acknowledgment Open access funding enabled and organized by Projekt DEAL. ...
doi:10.1111/cgf.14209
fatcat:m6grkhl5pndpbbq7zxxgzj3snq
A Bayesian Dynamic Graphical Model for Recurrent Events in Public Health
[article]
2019
arXiv
pre-print
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We illustrate our methodology in two settings: an intervention to reduce falls among the elderly and a trial to examine effects of deferred treatment among individuals presenting with early epilepsy. ...
These models generalize the tree-based Chain Event Graphs to a particular class of graphically supported semi-Markov processes. ...
Acknowledgements The authors thank Tony Marson and David Chadwick for providing the MRC Multicentre Trial in Early Epilepsy and Single Seizures. ...
arXiv:1811.08872v2
fatcat:cl3phcqjs5htlbjs6pbq4eng2y
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