Moment constrained semi-supervised LDA

TY - ABST

T1 - Moment constrained semi-supervised LDA

AU - Loog, Marco

N1 - Conference code: 24

PY - 2012

Y1 - 2012

N2 - This BNAIC compressed contribution provides a summary of the work originally presented at the First IAPR Workshop on Partially Supervised Learning and published in [5]. It outlines the idea behind supervised and semi-supervised learning and highlights the major shortcoming of many current methods. Having identified the principal reason for their limitations, it briefly sketches a conceptually different take on the matter for linear discriminant analysis (LDA). Finally, the contribution hints at some of the results obtained. For any details, the reader is of course referred to [5].

AB - This BNAIC compressed contribution provides a summary of the work originally presented at the First IAPR Workshop on Partially Supervised Learning and published in [5]. It outlines the idea behind supervised and semi-supervised learning and highlights the major shortcoming of many current methods. Having identified the principal reason for their limitations, it briefly sketches a conceptually different take on the matter for linear discriminant analysis (LDA). Finally, the contribution hints at some of the results obtained. For any details, the reader is of course referred to [5].

UR - http://www.scopus.com/inward/record.url?scp=84874816436&partnerID=8YFLogxK

M3 - Conference abstract in proceedings

AN - SCOPUS:84874816436

SP - 303

EP - 304

BT - Proceedings of the 24th Benelux Conference on Artificial Intelligence

A2 - Uiterwijk, Jos W. H. M.

A2 - Roos, Nico

A2 - Winands, Mark H. M.

PB - Maastricht University

T2 - 24th Benelux Conference on Artificial Intelligence

Y2 - 25 October 2012 through 26 October 2012

ER -