38 search results - page 4 / 8 » Analyzing taxonomic classification using extensible Markov m... |
TMM
2002
13 years 7 months ago
2002
Modeling spatial context (e.g., autocorrelation) is a key challenge in classification problems that arise in geospatial domains. Markov random fields (MRF) is a popular model for i...
ECBS
2009
IEEE
14 years 2 months ago
2009
IEEE
Probabilistic models are useful for analyzing systems which operate under the presence of uncertainty. In this paper, we present a technique for verifying safety and liveness prop...
DCC
2003
IEEE
14 years 23 days ago
2003
IEEE
- Rate-distortion theory is applied to the problem of joint compression and classification. A Lagrangian distortion measure is used to consider both the squared Euclidean error in ...
CVIU
2006
13 years 7 months ago
2006
This paper describes how a visual system can automatically define features of interest from the observation of a large enough number of natural images. The principle complements t...
BMCBI
2007
13 years 7 months ago
2007
Background: In general, the construction of trees is based on sequence alignments. This procedure, however, leads to loss of informationwhen parts of sequence alignments (for inst...