1746 search results - page 39 / 350 » Hierarchical Unsupervised Learning |
ACL
2004
13 years 10 months ago
2004
Exploiting unannotated natural language data is hard largely because unsupervised parameter estimation is hard. We describe deterministic annealing (Rose et al., 1990) as an appea...
ML
2008
ACM
13 years 8 months ago
2008
ACM
CVPR
2008
IEEE
14 years 10 months ago
2008
IEEE
We present a new unsupervised method to learn unified probabilistic object models (POMs) which can be applied to classification, segmentation, and recognition. We formulate this a...
CVPR
2004
IEEE
14 years 10 months ago
2004
IEEE
Can we detect low dimensional structure in high dimensional data sets of images? In this paper, we propose an algorithm for unsupervised learning of image manifolds by semidefinit...
CIBCB
2006
IEEE
14 years 2 months ago
2006
IEEE
– The visualization of support vector machines in realistic settings is a difficult problem due to the high dimensionality of the typical datasets involved. However, such visuali...