1697 search results - page 124 / 340 » Spike Feature Extraction Using Informative Samples |
COLING
2010
13 years 3 months ago
2010
This paper introduces several extractive approaches for automatic image tagging, relying exclusively on information mined from texts. Through evaluations on two datasets, we show ...
KES
2005
Springer
14 years 1 months ago
2005
Springer
This paper presents a new algorithm for feature generation, which is approximately derived based on geometrical interpretation of the Fisher linear discriminant analysis. In a fiel...
ICML
2000
IEEE
14 years 9 months ago
2000
IEEE
Most machine learning algorithms are lazy: they extract from the training set the minimum information needed to predict its labels. Unfortunately, this often leads to models that ...
IJCNN
2006
IEEE
14 years 2 months ago
2006
IEEE
— Since we can accumulate a huge amount of data including useless information in these years, it is important to investigate various extraction method of clusters from data inclu...
ICST
2010
IEEE
13 years 6 months ago
2010
IEEE
A Feature Model (FM) is a compact representation of all the products of a software product line. The automated extraction of information from FMs is a thriving research topic invo...