705 search results - page 31 / 141 » Unsupervised Learning Using MML |
92
Voted
ICPR
2010
IEEE
15 years 21 days ago
2010
IEEE
Documents in many corpora, such as digital libraries and webpages, contain both content and link information. In a traditional topic model which plays an important role in the uns...
164
Voted
DAGM
2011
Springer
14 years 2 months ago
2011
Springer
Many unsupervised learning algorithms make use of kernels that rely on the Euclidean distance between two samples. However, the Euclidean distance is optimal for Gaussian distribut...
121
Voted
ICML
2005
IEEE
16 years 3 months ago
2005
IEEE
Unsupervised learning methods often involve summarizing the data using a small number of parameters. In certain domains, only a small subset of the available data is relevant for ...
125
Voted
ICCV
2003
IEEE
16 years 4 months ago
2003
IEEE
Learning visual models of object categories notoriously requires thousands of training examples; this is due to the diversity and richness of object appearance which requires mode...
127
Voted
ICPR
2008
IEEE
16 years 3 months ago
2008
IEEE
Embedding images into a low dimensional space has a wide range of applications: visualization, clustering, and pre-processing for supervised learning. Traditional dimension reduct...