890 search results - page 94 / 178 » Learning a Generative Model for Structural Representations |
EMMCVPR
2005
Springer
14 years 2 months ago
2005
Springer
This contribution proposes a compositionality architecture for visual object categorization, i.e., learning and recognizing multiple visual object classes in unsegmented, cluttered...
CIKM
1997
Springer
14 years 1 months ago
1997
Springer
This paper presents an efficient algorithm for learning Bayesian belief networks from databases. The algorithm takes a database as input and constructs the belief network structur...
AIED
2007
Springer
14 years 3 months ago
2007
Springer
Rules have been showed to be appropriate representations to model tutoring and can be easily applied to intelligent tutoring systems. We applied a machine learning technique, Class...
AAAI
2007
13 years 11 months ago
2007
The goal of our current research is machine learning with the help and guidance of a knowledge base (KB). Rather than learning numerical models, our approach generates explicit sy...
VIS
2003
IEEE
14 years 10 months ago
2003
IEEE
We present a method to represent unstructured scalar fields at multiple levels of detail. Using a parallelizable classification algorithm to build a cluster hierarchy, we generate...