68 search results - page 8 / 14 » Classification with Incomplete Data Using Dirichlet Process ... |
IGARSS
2009
14 years 7 months ago
2009
High-dimensional data such as hyperspectral imagery is traditionally acquired in full dimensionality before being reduced in dimension prior to processing. Conventional dimensiona...
ICIAP
2009
ACM
15 years 10 months ago
2009
ACM
Multi-class binary symbol classification requires the use of rich descriptors and robust classifiers. Shape representation is a difficult task because of several symbol distortions...
CHI
1994
ACM
15 years 1 months ago
1994
ACM
When working with large data sets, users perform three primary types of activities: data manipulation, data analysis, and data visualization. The data manipulation process involve...
IJCNLP
2004
Springer
15 years 2 months ago
2004
Springer
This paper treats nominal entity tagging as a six-way (five categories plus nonentity) classification problem and applies a smoothing maximum entropy (ME) model with a Gaussian pr...
ACSC
2006
IEEE
15 years 3 months ago
2006
IEEE
Remotely-sensed images of the earth’s surface are used across a wide range of industries and applications including agriculture, mining, defence, geography and geology, to name ...