Output details
11 - Computer Science and Informatics
Imperial College London
Article title
Neighbourhood approximation using randomized forests.
Type
D - Journal article
Title of journal
Medical Image Analysis
Article number
-
Volume number
17
Issue number
-
First page of article
790
ISSN of journal
1361-8423
Year of publication
2013
URL
-
Number of additional authors
3
Additional information
<24> This article introduces a generalisation of popular randomized decision trees which allows efficient approximate nearest neighbour estimation. The paper is an extension of work first presented at MICCAI 2012 (oral presentation, 4% out of 800 submissions) and subsequently received the MeDIA journal award for best paper of the MICCAI Special Issue (www.miccai2013.org). The proposed supervised learning methodology allows clustering and automatic extraction of clinically relevant image features, for example, for ageing and disease related changes of the structure of the human brain.
Interdisciplinary
-
Cross-referral requested
-
Research group
C - Visual Information Processing
Citation count
1
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-
