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Learning and Analysing Massive / Big complex Data

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 / 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 may be based on the highly-optimised platform BIDMach (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."

Call for proposal

H2020-MSCA-RISE-2016
See other projects for this call

Coordinator

ETHNIKO KAI KAPODISTRIAKO PANEPISTIMIO ATHINON
Address
6 Christou Lada Str
10561 Athina
Greece
Activity type
Higher or Secondary Education Establishments
EU contribution
€ 180 000

Participants (2)

3D INDUSTRIES LIMITED
United Kingdom
EU contribution
€ 121 500
Address
151 Grosvenor Road
SW1V 3JN London
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
GIE AXA
France
EU contribution
€ 36 000
Address
Avenue Matignon 23
75008 Paris
Activity type
Other

Partners (4)

THE OHIO STATE UNIVERSITY

Participation ended

United States
Address
2036 Neil Avenue - Bolz Hall 228
43210 Columbus
Activity type
Higher or Secondary Education Establishments
BOARD OF TRUSTEES OF THE LELAND STANFORD JUNIOR UNIVERSITY
United States
Address
Serra Mall 450
94305 2004 Stanford
Activity type
Higher or Secondary Education Establishments
THE REGENTS OF THE UNIVERSITY OF CALIFORNIA
United States
Address
Franklin Street 1111, 12 Floor
94607 Oakland Ca
Activity type
Higher or Secondary Education Establishments
The University of Illinois at Chicago
United States
Address
1747 W. Roosevelt Rd., Wrob/ijr Rm.
244, Chicago, Il 60608,
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)