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Exploring Diversified Similarity with Kundaha

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Marcos V. N. BedoAuthors Info & Claims

CIKM '18: Proceedings of the 27th ACM International Conference on Information and Knowledge Management

Pages 1903 - 1906

https://doi.org/10.1145/3269206.3269220

Published: 17 October 2018 Publication History

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Abstract

Exploring large medical image sets by means of traditional similarity query criteria (e.g., neighborhood) can be fruitless if retrieved images are too similar among themselves. This demonstration introduces Kundaha, an exploration tool that assists experts in retrieving and navigating on results from a diversified similarity perspective of user-posed queries. Its implementation includes a wide set of metrics, descriptors, and indexes for enhancing query execution. Users can combine such features with diversified similarity criteria for the organized exploration of result sets and also employ relevance feedback cycles for finding new query-based viewpoints.

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Jasbick DSantos LAzevedo-Marques PTraina AOliveira DBedo M(2023)Pushing diversity into higher dimensionsInformation Systems10.1016/j.is.2023.102166114:COnline publication date: 1-Mar-2023
https://dl.acm.org/doi/10.1016/j.is.2023.102166
Jasbick DSantos Lde Oliveira DBedo M(2020)Some Branches May Bear Rotten Fruits: Diversity Browsing VP-TreesSimilarity Search and Applications10.1007/978-3-030-60936-8_11(140-154)Online publication date: 14-Oct-2020
https://doi.org/10.1007/978-3-030-60936-8_11

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Published In

CIKM '18: Proceedings of the 27th ACM International Conference on Information and Knowledge Management

October 2018

2362 pages

ISBN:9781450360142

DOI:10.1145/3269206

General Chair:
Alfredo Cuzzocrea
University of Trieste, Italy
,
Program Chairs:
James Allan
University of Massachusetts, USA
,
Norman Paton
University of Manchester, United Kingdom
,
Divesh Srivastava
AT&T Labs Research, USA
,
Rakesh Agrawal
Data Insights Lab, USA
,
Andrei Broder
Google Research, USA
,
Mohammed Zaki
Rensselaer Polytechnic Institute, USA
,
Selcuk Candan
Arizona State University, USA
,
Alexandros Labrinidis
University of Pittsburgh, USA
,
Assaf Schuster
Technion, Israel
,
Haixun Wang
Google Research, USA

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

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Published: 17 October 2018

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CIKM '18: The 27th ACM International Conference on Information and Knowledge Management

October 22 - 26, 2018

Torino, Italy

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CIKM '18 Paper Acceptance Rate 147 of 826 submissions, 18%;

Overall Acceptance Rate 1,861 of 8,427 submissions, 22%

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Jasbick DSantos LAzevedo-Marques PTraina AOliveira DBedo M(2023)Pushing diversity into higher dimensionsInformation Systems10.1016/j.is.2023.102166114:COnline publication date: 1-Mar-2023
https://dl.acm.org/doi/10.1016/j.is.2023.102166
Jasbick DSantos Lde Oliveira DBedo M(2020)Some Branches May Bear Rotten Fruits: Diversity Browsing VP-TreesSimilarity Search and Applications10.1007/978-3-030-60936-8_11(140-154)Online publication date: 14-Oct-2020
https://doi.org/10.1007/978-3-030-60936-8_11

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Being Similar is Not Enough: How to Bridge Usability Gap through Diversity in Medical Images

Content-based medical image retrieval by spatial matching of visual words

Diversified recommendation on graphs: pitfalls, measures, and algorithms

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