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LAMBDA SIGNED

Learning and Analysing Massive / Big complex Data

Total Cost €

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EC-Contrib. €

0

Partnership

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 LAMBDA project word cloud

Explore the words cloud of the LAMBDA project. It provides you a very rough idea of what is the project "LAMBDA" about.

collaborations    sophisticated    first    respective    companies    licensed    search    synergies    world    changing    confidential    rigorous    sectoral    supporting    lifetime    mining    tools    libraries    3d    critical    global    domains    inherent    correspond    associating    learning    dimensionality    simulate    issue    industry    breakthroughs    framework    directions    characterised    edge    implementations    share    international    massive    links    innovative    latter    modeling    twofold    anonymisation    datasets    software    lambda    ranging    adapt    dimension    shape    prototype    geometrically    usa    repositories    industries    domain    inclined    data    berkeley    public    algorithms    inter    insurance    interdisciplinarity    industrial    universities    machine    transfer    theory    strengthens    complexity    statistical    platform    expertise    game    curse    unstructured    technologies    uc    raises    cutting    algorithmic    representative    transferring    blend    atlantic    turn    bidmach    besides    clusters    benchmarks   

Project "LAMBDA" data sheet

The following table provides information about the project.

Coordinator
ETHNIKO KAI KAPODISTRIAKO PANEPISTIMIO ATHINON 

Organization address
address: 6 CHRISTOU LADA STR
city: ATHINA
postcode: 10561
website: www.elke.uoa.gr

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country Greece [EL]
 Project website http://lambda-project.eu/
 Total cost 337˙500 €
 EC max contribution 337˙500 € (100%)
 Programme 1. H2020-EU.1.3.3. (Stimulating innovation by means of cross-fertilisation of knowledge)
 Code Call H2020-MSCA-RISE-2016
 Funding Scheme MSCA-RISE
 Starting year 2017
 Duration (year-month-day) from 2017-03-01   to  2021-02-28

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    ETHNIKO KAI KAPODISTRIAKO PANEPISTIMIO ATHINON EL (ATHINA) coordinator 180˙000.00
2    3D INDUSTRIES LIMITED UK (LONDON) participant 121˙500.00
3    GIE AXA FR (PARIS) participant 36˙000.00
4    BOARD OF TRUSTEES OF THE LELAND STANFORD JUNIOR UNIVERSITY US (STANFORD) partner 0.00
5    THE OHIO STATE UNIVERSITY US (COLUMBUS) partner 0.00
6    THE REGENTS OF THE UNIVERSITY OF CALIFORNIA US (OAKLAND CA) partner 0.00
7    The University of Illinois at Chicago US (244, Chicago, IL 60608,) partner 0.00

Map

 Project objective

'LAMBDA aims at transferring game changing technologies to the European industry in critical areas of Machine learning. Based on recent algorithmic breakthroughs, we adapt sophisticated methods to targeted industries, with a twofold goal: First, to help turn cutting edge tools into innovative software products and processes, tailored to real-world issues. Second, based on the available data, to organise open data repositories and benchmarks, or to simulate data with the same statistical properties, when such data is confidential, following 'anonymisation'.

LAMBDA focuses on two distinct application domains: 3D shape analysis and unstructured data mining. They share challenging features such as inherent complexity in modeling the data, high dimensionality which raises the issue of curse of dimensionality, and the need to address such datasets at a massive scale. Moreover, they correspond to the expertise of the participants. LAMBDA is characterised by a unique blend of theoretically rigorous and geometrically inclined methods, thus supporting a strong aspect of interdisciplinarity between Theory of Algorithms and Machine Learning. This shall be supported by advanced software development, ranging from public-domain prototype implementations to licensed software and integrated libraries, where the latter is based on the highly-optimised platform BIDMach, developed at UC Berkeley.

LAMBDA strengthens existing links within Europe and across the Atlantic, while creating new synergies in the directions of two industrial domains, namely 3D shape search and insurance data. The two clusters are organised around representative companies in the respective domains. The Project is built so as to support knowledge transfer beyond its lifetime. Besides inter-sectoral collaborations, we exploit the international dimension by associating leading USA Universities, so as to bring state-of-the-art methods developed at the global level into the European framework.'

 Deliverables

List of deliverables.
Kickoff General Workshop Other 2019-10-09 11:49:28
Midterm advances report (WP2) Documents, reports 2019-09-02 11:06:31
Midterm advances report (WP1) Documents, reports 2019-09-02 11:06:31
Midterm advances report (WP3) Documents, reports 2019-09-02 11:06:31
Launch project’s web portal Websites, patent fillings, videos etc. 2019-09-02 11:06:30
Progress report M12 Documents, reports 2019-09-02 11:06:30
Mid-term meeting Other 2019-09-02 11:06:30

Take a look to the deliverables list in detail:  detailed list of LAMBDA deliverables.

 Publications

year authors and title journal last update
List of publications.
2018 Emmanouil Christoforou, Zoe Cournia and Ioannis Emiris
Advanced clustering methods for identifying bioactive molecular conformations (Poster)
published pages: , ISSN: , DOI:
BioExcel 2nd Special Interest Group Meeting “Advanced Simulations for Biomolecular Research” 2018 2019-10-08
2018 Evangelos Anagnostopoulos, Ioannis Z. Emiris, Ioannis Psarros
Randomized Embeddings with Slack and High-Dimensional Approximate Nearest Neighbor
published pages: 1-21, ISSN: 1549-6325, DOI: 10.1145/3178540
ACM Transactions on Algorithms 14/2 2019-10-08
2018 Evangelos Anagnostopoulos, Ioannis Z. Emiris, Vissarion Fisikopoulos
Polytope Membership in High Dimension
published pages: 39-51, ISSN: , DOI: 10.1007/978-3-319-96151-4_4
5th International Symposium on Combinatorial Optimization (ISCO 2018) 2018 2019-09-02
2018 Emiris, Ioannis Psarros, Ioannis
Products of Euclidean Metrics and Applications to Proximity Questions among Curves
published pages: , ISSN: , DOI: 10.4230/LIPIcs.SoCG.2018.37
Symposium Computational Geometry Yearly 2019-09-02
2018 Cales, Ludovic; Chalkis, Apostolos; Emiris, Ioannis Z.; Fisikopoulos, Vissarion
Practical volume computation of structured convex bodies, and an application to modeling portfolio dependencies and financial crises
published pages: , ISSN: , DOI: 10.4230/LIPIcs.SoCG.2018.19
34th International Symposium on Computational Geometry (SoCG 2018) 99 2019-09-02
2019 Apostolos Chalkis, Ioannis Z. Emiris, Vissarion Fisikopoulos
Practical volume estimation by a new annealing schedule for cooling convex bodies
published pages: , ISSN: , DOI:
European workshop Computational Geometry 2019 2019-09-02

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