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From ``Identical'' to ``Similar'': Fusing Retrieved Lists Based on Inter-Document Similarities
2011
The Journal of Artificial Intelligence Research
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We present a novel fusion approach that is based on using, in addition, information induced from inter-document similarities. ...
We use a graph-based method to model relevance-status propagation between documents. The propagation is governed by inter-document-similarities and by retrieval scores of documents in the lists. ...
This paper is based upon work supported in part by the Israel Science Foundation under grant no. 557/09, and by IBM's SUR award. ...
doi:10.1613/jair.3214
fatcat:aoqjbr7fivdztncvusdopxqwau
A Topic Model Approach to Multi-Modal Similarity
[article]
2014
arXiv
pre-print
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We propose to compare the resulting similarities from different model realizations using the non-parametric Mantel test. The approach is evaluated on a music dataset. ...
We use a multi-modal topic model as a basis for defining such a similarity between objects. ...
Furthermore, topic model induced similarities among documents have been put to use in a navigation application [6] , and different similarity estimates are also discussed in relation to a content-based ...
arXiv:1405.6886v1
fatcat:n42ithugljge7jm7ytrnqzs2la
DeepSSN: a deep convolutional neural network to assess spatial scene similarity
[article]
2022
arXiv
pre-print
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However, traditional sketch-based spatial search methods perform insufficiently due to their inability to find hidden multi-scale map features from mental sketches. ...
This research advances geographic information retrieval studies by introducing a novel deep learning method tailored to spatial scene queries. ...
ACKNOWLEDGMENT The authors would like to thank Jake Kruse (University of Wisconsin-Madison) for his help on polishing the language of this paper. ...
arXiv:2202.04755v1
fatcat:54inuftfzjfbnd7tfm2he3ug7q
Similarity methods in chemoinformatics
2009
Annual Review of Information Science and Technology
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retrieved, although there were differences in the identities of the actives retrieved by the two approaches. ...
structure: only if this is the case will a particular similarity measure be useful for virtual screening (in much the same way as an effective IR procedure is one that is able to retrieve relevant documents ...
doi:10.1002/aris.2009.1440430108
fatcat:3spez43we5bthe7nfzy45c3kka
Similarity Based Object Retrieval of Composite Neuronal Structures
[article]
2012
Eurographics Workshop on 3D Object Retrieval, EG 3DOR
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To enable similarity based retrieval of neuronal objects we defined together with domain experts tailored dissimilarity measures for each of the three typical neuronal sub structures cell body, projection ...
Circuit Neuroscience tries to solve one of the most challenging questions in biology: How does the brain work? ...
Data collections and studies in neuroscience are often inter subject, i.e. aim at fusing information from data retrieved from different individuals to a common atlas. ...
doi:10.2312/3dor/3dor12/001-008
fatcat:5ad6uq7pnra4zhuimdqssylrry
How to measure information similarity in online social networks: A case study of Citeulike
2017
Information Sciences
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The results demonstrate that, instead of focusing on monotonous bookmark-based similarities, it is significantly better to zero in on more cognitively expressible metadata-based similarities in accounting ...
Then, we computed the effectiveness of various similarity measures in their capabilities to estimate the shared interests. ...
This is why the measures based on co-bookmarking identical items performed much worse than metadata-based measures. ...
doi:10.1016/j.ins.2017.07.034
fatcat:6x2kejcbj5cznaxz6ou42rri5y
Semantic similarity based trust computation in websites
2007
Workshop on multimedia information retrieval on The many faces of multimedia semantics - MS '07
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measure from the Similarity Process, and computes new trust level based on previous trust level, which is also retrieved from the database. ...
both methods are identical or very similar. ...
This tendency could be explained by a certain difficulty in the finding of relevant articles (i.e. articles relevant between each other) for comparisons in the study due to the limited health information ...
doi:10.1145/1290067.1290079
dblp:conf/mm/IbrahimAE07
fatcat:i5kpuh5wqnazxg2g2zqgmwfdz4
A hierarchical knowledge-based approach for retrieving similar medical images described with semantic annotations
2014
Journal of Biomedical Informatics
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It is based on two main steps: (1) annotation of the images with semantic terms extracted from an ontology, and (2) evaluation of the similarity of image pairs by computing the similarity between the terms ...
We propose a new framework that includes semantic features in images and that enables retrieval of similar images in large databases based on their semantic relations. ...
Acknowledgments The authors would like to thank Jarrett Rosenberg for his useful help on statistical evaluations. ...
doi:10.1016/j.jbi.2014.02.018
pmid:24632078
pmcid:PMC4058405
fatcat:movcgiinojdkpoiwemrx4oopai
Medical image retrieval with probabilistic multi-class support vector machine classifiers and adaptive similarity fusion
2008
Computerized Medical Imaging and Graphics
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We also propose an adaptive similarity fusion approach based on a linear combination of individual feature level similarities. ...
Our results demonstrate the effectiveness of the proposed framework as compared to the commonly used approaches based on low-level feature descriptors. ...
We would like to thank TM Lehmann, Department of Medical Informatics, RWTH Aachen, Germany [15] , for making the database available for the experiments and C.C. Chang and C.J. ...
doi:10.1016/j.compmedimag.2007.10.001
pmid:18037271
fatcat:legkecovjzhmdhpbuvqkaym7oi
FuSe: A tool to move RNA-Seq analyses from chromosomal/gene loci to functional grouping of mRNA transcripts
2020
Bioinformatics
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We propose to improve RNA-Seq analyses by grouping the transcripts based on their similar functions. ...
We developed FuSe to predict functional similarities using the primary and secondary structure of proteins. ...
Acknowledgements A special thanks to Dr. Terezinha de Souza, Juan Ochoteco Asensio, Tim Kuijpers, and Nhan Nguyen for their help in testing FuSe. ...
doi:10.1093/bioinformatics/btaa735
pmid:32814975
pmcid:PMC8058771
fatcat:25awezngezgyrj5visgxlu5xoq
Unsupervised Event Graph Representation and Similarity Learning on Biomedical Literature
2021
Sensors
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To this end, our solution compares events against a small set of anchor ones, trains cross-graph attention networks for drawing pairwise alignments (bolstering interpretability), and employs transformer-based ...
Extensive experiments have been done on nine biomedical datasets. ...
then fused by a small network for similarity prediction. ...
doi:10.3390/s22010003
pmid:35009544
pmcid:PMC8747118
fatcat:zghkmzt3wnf27cvh2p5tcvrvei
From cartoons to quantitative models in Golgi transport
[article]
2020
bioRxiv
pre-print
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In this report, we show that schematic drawings of Golgi trafficking can be easily translated into an Agent-Based Model (ABM) using the Repast platform. ...
The simulations can be used to address issues directly linked to the mechanism of transport or as a way to incorporate the complexity of trafficking to other cellular processes that occur in dynamic organelles ...
and fuse with the following one in the cis-to-trans direction. ...
doi:10.1101/2020.05.13.094383
fatcat:vyrbbwzyzvbujf4wubdshudpm4
BERT for Conversational Question Answering Systems Using Semantic Similarity Estimation
2022
Computers Materials & Continua
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Semantic Similarity Estimation is based on relating user's questions to the context from previous Conversational Search Systems (CSS) to provide answers without requesting the user's context. ...
This model shows the ability to use the limited information in user queries for best context inferences based on Closed-Domain-based CS and Bidirectional Encoder Representations from Transformers for textual ...
Like humans, CSS must learn to identify closely related or highly similar questions to refer historical context based on the question similarity. ...
doi:10.32604/cmc.2022.021033
fatcat:wm34anpztzhm5k7q4di2jsxkyi
From Lifestyle Vlogs to Everyday Interactions
[article]
2017
arXiv
pre-print
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Most past efforts have gathered this data explicitly: starting with a laundry list of action labels, and then querying search engines for videos tagged with each label. ...
We show that by collecting the data first, we are able to achieve greater scale and far greater diversity in terms of actions and actors. ...
and fused by 3 convolutional layers to predict hand segmentation. ...
arXiv:1712.02310v1
fatcat:s2iewypsobgiznlaprcezbl3oa
The role of knowledge in determining identity of long-tail entities
2020
Journal of Web Semantics
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How can one fill knowledge gaps when these cannot be distilled directly from communication nor retrieved from existing knowledge bases? ...
Most similar to profiling, the method in [38] estimates a property of a longtail entity based on the community/ies it belongs to, assuming that each entity's property values are shared with others from ...
doi:10.1016/j.websem.2020.100565
fatcat:ral6zwvga5d3fojgtldtjxbmdi
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