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Scalable Similarity Search

The Scalable Similarity Search. Project, led by professor Rasmus Pagh. And hosted at the IT University of Copenhagen. Is funded by the European Research Council (ERC). Johan von Tangen Sivertsen. Seminar series, fall 2016: Parallel and distributed similarity search. Seminar series, spring 2016: Real-life data and dimensionality. Check out the presentations from our post-SODA workshop on multi-dimensional proximity problems. The project officially started on May 1, 2014, and the kick-off event.

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Scalable Similarity Search | sss.projects.itu.dk Reviews
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The Scalable Similarity Search. Project, led by professor Rasmus Pagh. And hosted at the IT University of Copenhagen. Is funded by the European Research Council (ERC). Johan von Tangen Sivertsen. Seminar series, fall 2016: Parallel and distributed similarity search. Seminar series, spring 2016: Real-life data and dimensionality. Check out the presentations from our post-SODA workshop on multi-dimensional proximity problems. The project officially started on May 1, 2014, and the kick-off event.
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1 people
2 rasmus pagh
3 principal investigator
4 riko jacob
5 affiliated researcher
6 tobias lybecker christiani
7 phd student
8 thomas dybdahl ahle
9 francesco silvestri
10 post doc
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Scalable Similarity Search | sss.projects.itu.dk Reviews

https://sss.projects.itu.dk

The Scalable Similarity Search. Project, led by professor Rasmus Pagh. And hosted at the IT University of Copenhagen. Is funded by the European Research Council (ERC). Johan von Tangen Sivertsen. Seminar series, fall 2016: Parallel and distributed similarity search. Seminar series, spring 2016: Real-life data and dimensionality. Check out the presentations from our post-SODA workshop on multi-dimensional proximity problems. The project officially started on May 1, 2014, and the kick-off event.

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1

real-data-seminar/README.md at master · mska/real-data-seminar

http://sss.projects.itu.dk/seminar-spring-2016.html

Scalable Similarity Search Meetings, Spring 2016. Theme: dimensionality and similarity search beyond worst case . List of possible papers to look at. Edgar Chávez and Gonzalo Navarro. Measuring the dimensionality of general metric spaces. Technical Report TR/DCC-00-1, Department of Computer Science, University of Chile, 2000. Submitted. Online ftp:/ ftp.dcc.uchile.cl/pub/users/gnavarro/metricmodel.ps.gz. This is the original paper on intrinsic dimensionality. Ergodic Theory & Dynamical Systems, 2:109 124...

2

Scalable Similarity Search

http://sss.projects.itu.dk/kickoff.html

To celebrate its start and to create awareness of the project we are organizing a kick-off event aimed at everyone interested in big data challenges. In the first part we will give a broadly accessible introduction to the motivation and goals of the project. After a reception we proceed with a small workshop aimed at researchers in algorithms. Time: October 8, 2014, 11 AM. Place: Auditorium 3, IT University of Copenhagen, Rued Langgaards Vej 7. 1100 - 11.45. Welcome by provost Jørgen Staunstrup.

3

Workshop on Multi-dimensional Proximity Problems

http://sss.projects.itu.dk/proximity-workshop.html

Workshop on Multi-dimensional Proximity Problems. January 13, 2016, University of Maryland, College Park. And the workshop location is easily reached from the SODA conference venue. David M. Mount. University of Maryland and Rasmus Pagh. IT University of Copenhagen. Scalable network distance browsing in spatial databases. Joint work with Jagan Sankaranarayanan and Houman Alborzi. Best Paper Award, SIGMOD Conference, Vancouver, June 2008. Probabilistic Polynomials and Hamming Nearest Neighbors. You can co...

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Scalable Similarity Search

The Scalable Similarity Search. Project, led by professor Rasmus Pagh. And hosted at the IT University of Copenhagen. Is funded by the European Research Council (ERC). Johan von Tangen Sivertsen. Seminar series, fall 2016: Parallel and distributed similarity search. Seminar series, spring 2016: Real-life data and dimensionality. Check out the presentations from our post-SODA workshop on multi-dimensional proximity problems. The project officially started on May 1, 2014, and the kick-off event.

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