544 search results - page 30 / 109 » Clustering with Instance-level Constraints |
ICASSP
2010
IEEE
14 years 9 months ago
2010
IEEE
Nonnegative matrix factorization (NMF) is a widely-used tool for obtaining low-rank approximations of nonnegative data such as digital images, audio signals, textual data, financ...
78
Voted
CICLING
2009
Springer
15 years 10 months ago
2009
Springer
We propose a supervised word sense disambiguation (WSD) system that uses features obtained from clustering results of word instances. Our approach is novel in that we employ semi-s...
DAWAK
2004
Springer
15 years 3 months ago
2004
Springer
Clustering is a difficult problem especially when we consider the task in the context of a data stream of categorical attributes. In this paper, we propose SCLOPE, a novel algorith...
IDA
2003
Springer
15 years 2 months ago
2003
Springer
The segmentation of time-series is a constrained clustering problem: the data points should be grouped by their similarity, but with the constraint that all points in a cluster mus...
90
Voted
ECCV
2010
Springer
15 years 1 days ago
2010
Springer
We propose a spectral learning approach to shape segmentation. The method is composed of a constrained spectral clustering algorithm that is used to supervise the segmentation of a...