1172 search results - page 142 / 235 » From Data Distributions to Regularization in Invariant Learn... |
167
Voted
CVIU
2010
15 years 3 months ago
2010
Most multi-camera systems assume a well structured environment to detect and track objects across cameras. Cameras need to be fixed and calibrated, or only objects within a traini...
132
Voted
ICPR
2008
IEEE
16 years 4 months ago
2008
IEEE
We outline an incremental learning algorithm designed for nonstationary environments where the underlying data distribution changes over time. With each dataset drawn from a new e...
168
Voted
ICCV
2009
IEEE
15 years 1 months ago
2009
IEEE
Multi-label learning is useful in visual object recognition when several objects are present in an image. Conventional approaches implement multi-label learning as a set of binary...
136
Voted
ECML
2007
Springer
15 years 9 months ago
2007
Springer
We present a framework for efficient, accurate approximate Bayesian inference in generalized linear models (GLMs), based on the expectation propagation (EP) technique. The paramete...
122
Voted
KDD
2003
ACM
16 years 4 months ago
2003
ACM
Classification is a well-established operation in text mining. Given a set of labels A and a set DA of training documents tagged with these labels, a classifier learns to assign l...