1863 search results - page 109 / 373 » A supervised learning approach for imbalanced data sets |
131
click to vote
IDA
2002
Springer
15 years 3 months ago
2002
Springer
Feature subset selection is important not only for the insight gained from determining relevant modeling variables but also for the improved understandability, scalability, and pos...
152
click to vote
CVPR
2007
IEEE
16 years 6 months ago
2007
IEEE
We propose a novel unsupervised learning framework for activity perception. To understand activities in complicated scenes from visual data, we propose a hierarchical Bayesian mod...
133
click to vote
DAGSTUHL
2004
15 years 5 months ago
2004
Subgroup discovery aims at finding interesting subsets of a classified example set that deviates from the overall distribution. The search is guided by a so-called utility function...
169
click to vote
ICIP
2010
IEEE
15 years 1 months ago
2010
IEEE
In this paper, an automatic target recognition algorithm is presented based on a framework for learning dictionaries for simultaneous sparse signal representation and feature extr...
147
click to vote
ICIAR
2009
Springer
15 years 1 months ago
2009
Springer
This paper presents a robust automatic shape classifier using modular wavelet networks (MWNs). A shape descriptor is constructed based on a combination of global geometric features...