141 search results - page 1 / 29 » Unsupervised Image Classification with a Hierarchical EM Alg... |
ICCV
1999
IEEE
14 years 7 months ago
1999
IEEE
This work takes place in the context of hierarchical stochastic models for the resolution of discrete inverse problems from low level vision. Some of these models lie on the nodes...
TMI
2008
13 years 5 months ago
2008
Multicolor fluorescence in situ hybridization (M-FISH) techniques provide color karyotyping that allows simultaneous analysis of numerical and structural abnormalities of whole hum...
ICMCS
2006
IEEE
13 years 11 months ago
2006
IEEE
EM algorithm is an important unsupervised clustering algorithm, but the algorithm has several limitations. In this paper, we propose a fast EM algorithm (FEMA) to address the limi...
BIBE
2007
IEEE
13 years 9 months ago
2007
IEEE
Recent research has demonstrated the utility of using supervised classification systems for automatic identification of low quality microarray data. However, this approach requires...
NIPS
2004
13 years 6 months ago
2004
Capturing dependencies in images in an unsupervised manner is important for many image processing applications. We propose a new method for capturing nonlinear dependencies in ima...