224 search results - page 23 / 45 » Supervised clustering with support vector machines |
DAGM
2004
Springer
14 years 24 days ago
2004
Springer
We consider the general problem of learning from labeled and unlabeled data. Given a set of points, some of them are labeled, and the remaining points are unlabeled. The goal is to...
WWW
2007
ACM
14 years 8 months ago
2007
ACM
Traditional clustering algorithms work on "flat" data, making the assumption that the data instances can only be represented by a set of homogeneous and uniform features...
VIP
2003
13 years 8 months ago
2003
To bridge the semantic gap in content-based image retrieval, detecting meaningful visual entities (e.g. faces, sky, foliage, buildings etc) in image content and classifying images...
SDM
2009
SIAM
14 years 4 months ago
2009
SIAM
This paper demonstrates the applicability of the recently proposed supervised dimension reduction, hierarchical linear discriminant analysis (h-LDA) to a well-known spatial locali...
GECCO
2008
Springer
13 years 8 months ago
2008
Springer
This paper presents an efficient hybrid feature selection model based on Support Vector Machine (SVM) and Genetic Algorithm (GA) for large healthcare databases. Even though SVM an...