@inproceedings{911b1eab36144facb4f41278a5f14713,
title = "Semi-supervised learning in medical image database",
abstract = "This paper presents a novel graph-based algorithm for solv- ing the semi-supervised learning problem. The graph-based algorithm makes use of the recent advances in stochastic graph sampling technqiue and a modeling of the labeling consistency in semi-supervised learning. The quality of the algorithm is empirically evaluated on a synthetic clus- tering problem. The semi-supervised clustering is also applied to the problem of symptoms classification in medical image database and shows promising results.",
author = "Li, {Chun Hung} and YUEN, {Pong Chi}",
note = "Publisher Copyright: {\textcopyright} Springer-Verlag Berlin Heidelberg 2001. Copyright: Copyright 2020 Elsevier B.V., All rights reserved.; 5th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2001 ; Conference date: 16-04-2001 Through 18-04-2001",
year = "2001",
doi = "10.1007/3-540-45357-1_19",
language = "English",
isbn = "3540419101",
series = "Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)",
publisher = "Springer Verlag",
pages = "154--160",
editor = "David Cheung and Williams, {Graham J.} and Qing Li",
booktitle = "Advances in Knowledge Discovery and Data Mining - 5th Pacific-Asia Conference, PAKDD 2001, Proceedings",
address = "Germany",
}