901 search results - page 94 / 181 » Modelling Complex Data by Learning Which Variable to Constru... |
118
click to vote
EMMCVPR
2005
Springer
2005
Springer
Exploiting Inference for Approximate Parameter Learning in Discriminative Fields: An Empirical Study
15 years 8 months ago
Abstract. Estimation of parameters of random field models from labeled training data is crucial for their good performance in many image analysis applications. In this paper, we p...
120
click to vote
ISJ
2002
15 years 2 months ago
2002
In recent years, an increasing amount of attention has been paid to information systems (IS) outsourcing by practitioners as well as academics. However, our understanding of the fa...
138
click to vote
ICASSP
2011
IEEE
14 years 6 months ago
2011
IEEE
In many applications decisions must be made about the state of an object based on indirect noisy observation of highdimensional data. An example is the determination of the presen...
117
click to vote
INFOVIS
2002
IEEE
15 years 8 months ago
2002
IEEE
Relational databases provide significant flexibility to organize, store, and manipulate an infinite variety of complex data collections. This flexibility is enabled by the concept...
115
click to vote
PRL
2006
15 years 3 months ago
2006
Data reduction plays an important role in machine learning and pattern recognition with a high-dimensional data. In real-world applications data usually exists with hybrid formats...