780 search results - page 75 / 156 » Learning Mid-Level Features For Recognition |
KDD
2004
ACM
14 years 9 months ago
2004
ACM
In gene expression microarray data analysis, selecting a small number of discriminative genes from thousands of genes is an important problem for accurate classification of diseas...
SIGIR
2010
ACM
14 years 26 days ago
2010
ACM
Effective learning in multi-label classification (MLC) requires an ate level of abstraction for representing the relationship between each instance and multiple categories. Curren...
CSB
2004
IEEE
14 years 22 days ago
2004
IEEE
Feature selection and weighting are central problems in pattern recognition and instance-based learning. In this work, we discuss the challenges of constructing and weighting feat...
ICANN
2003
Springer
14 years 2 months ago
2003
Springer
The development of microarray technology has supplied a large volume of data to many fields. In particular, it has been applied to prediction and diagnosis of cancer, so that it ex...
CIKM
2009
Springer
14 years 28 days ago
2009
Springer
We describe an efficient technique to weigh word-based features in binary classification tasks and show that it significantly improves classification accuracy on a range of proble...