268 search results - page 6 / 54 » FIND - A unified framework for neural data analysis |
NN
2000
Springer
13 years 8 months ago
2000
Springer
A fundamental problem in neural network research, as well as in many other disciplines, is finding a suitable representation of multivariate data, i.e. random vectors. For reasons...
BIBE
2007
IEEE
14 years 2 months ago
2007
IEEE
—High-throughput data such as microarrays make it possible to investigate the molecular-level mechanism of cancer more efficiently. Computational methods boost the microarray ana...
ICML
2010
IEEE
13 years 9 months ago
2010
IEEE
Discrete mixed membership modeling and continuous latent factor modeling (also known as matrix factorization) are two popular, complementary approaches to dyadic data analysis. In...
BMCBI
2007
13 years 8 months ago
2007
Background: The most popular methods for significance analysis on microarray data are well suited to find genes differentially expressed across predefined categories. However, ide...
ISM
2005
IEEE
14 years 2 months ago
2005
IEEE
In this paper, a neural network based framework for semantic event detection in soccer videos is proposed. The framework provides a robust solution for soccer goal event detection...