Explore the words cloud of the LAMBDA project. It provides you a very rough idea of what is the project "LAMBDA" about.
The following table provides information about the project.
Coordinator |
ETHNIKO KAI KAPODISTRIAKO PANEPISTIMIO ATHINON
Organization address contact info |
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 |
Take a look of project's partnership.
# | ||||
---|---|---|---|---|
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 |
'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.'
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.
year | authors and title | journal | last update |
---|---|---|---|
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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The information about "LAMBDA" are provided by the European Opendata Portal: CORDIS opendata.
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