1315 search results - page 94 / 263 » Discovering Classification from Data of Multiple Sources |
130
Voted
GRC
2008
IEEE
15 years 2 months ago
2008
IEEE
Manifold learning can discover the structure of high dimensional data and provides understanding of multidimensional patterns by preserving the local geometric characteristics. Ho...
107
click to vote
ICCV
2009
IEEE
14 years 11 months ago
2009
IEEE
With the rise of photo-sharing websites such as Facebook and Flickr has come dramatic growth in the number of photographs online. Recent research in object recognition has used su...
122
click to vote
NIPS
1994
15 years 3 months ago
1994
Many real world learning problems are best characterized by an interaction of multiple independent causes or factors. Discovering such causal structure from the data is the focus ...
144
click to vote
BMCBI
2006
15 years 1 months ago
2006
Background: Multicategory Support Vector Machines (MC-SVM) are powerful classification systems with excellent performance in a variety of data classification problems. Since the p...
113
click to vote
ICML
2010
IEEE
14 years 11 months ago
2010
IEEE
Many real-world datasets can be clustered along multiple dimensions. For example, text documents can be clustered not only by topic, but also by the author's gender or sentim...