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Output details

13 - Electrical and Electronic Engineering, Metallurgy and Materials

University of Liverpool

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Output 14 of 76 in the submission

Article title

Automatic Generation of Co-Embeddings from Relational Data with Adaptive Shaping

Type

D - Journal article

DOI

10.1109/TPAMI.2013.66

Title of journal

IEEE Transactions on Pattern Analysis and Machine Intelligence

Article number

Volume number

Issue number

First page of article

2340

ISSN of journal

2160-9292

Year of publication

2013

URL

Number of additional authors

Additional information

The paper demonstrates a mathematically rigorous method for dealing with the problem of scalability for big data. This work has attracted support from Microsoft Research Inc (contact: jtsujii@microsoft.com) and underpins the award of an MRC project (MR/L01078X :"Supporting evidence-based public health interventions using text mining”).

Interdisciplinary

Cross-referral requested

Research group

4 - Signal Processing and Communications

Proposed double-weighted

Double-weighted statement

Reserve for a double-weighted output

Non-English

English abstract