124 search results - page 6 / 25 » Iterative Feature Selection in Gaussian Mixture Clustering w... |
ICASSP
2009
IEEE
13 years 4 months ago
2009
IEEE
In this paper, we propose a novel sparse source separation method that can be applied even if the number of sources is unknown. Recently, many sparse source separation approaches ...
ICML
2010
IEEE
13 years 8 months ago
2010
IEEE
Variable selection for cluster analysis is a difficult problem. The difficulty originates not only from the lack of class information but also the fact that high-dimensional data ...
ISMIR
2004
Springer
14 years 10 days ago
2004
Springer
In this work, musical instrument recognition is considered on solo music from real world performance. A large sound database is used that consists of musical phrases excerpted fro...
ICPR
2002
IEEE
14 years 8 months ago
2002
IEEE
bstraction of Wildlife Footage using Gaussian Mixture Models and the Minimum Description Length Criterion David Gibson Neill Campbell Barry Thomas Department of Computer Science Un...
ICASSP
2011
IEEE
12 years 10 months ago
2011
IEEE
This paper presents a robust unsupervised learning approach for detection of anomalies in patterns of human behavior using multi-modal smart environment sensor data. We model the ...