324 search results - page 24 / 65 » Data Clustering with Partial Supervision |
ICMCS
2006
IEEE
14 years 3 months ago
2006
IEEE
In this paper we present a novel approach for labeling clusters of multimedia content that leverages supervised classification techniques in conjunction with unsupervised cluster...
CVPR
2011
IEEE
13 years 1 months ago
2011
IEEE
Given a unlabelled set of points X ∈ RN belonging to k groups, we propose a method to identify cluster assignments that provides maximum separating margin among the clusters. We...
ECML
2006
Springer
14 years 1 months ago
2006
Springer
Multiple-instance learning (MIL) is a popular concept among the AI community to support supervised learning applications in situations where only incomplete knowledge is available....
PRIB
2009
Springer
14 years 4 months ago
2009
Springer
Abstract. The rapidly emerging field of metagenomics seeks to examine the genomic content of communities of organisms to understand their roles and interactions in an ecosystem. I...
BMCBI
2008
13 years 10 months ago
2008
Background: The traditional (unweighted) k-means is one of the most popular clustering methods for analyzing gene expression data. However, it suffers three major shortcomings. It...