98 search results - page 5 / 20 » On the Value of Objective Function Adaptation in Online Opti... |
CVPR
2005
IEEE
14 years 1 months ago
2005
IEEE
The paper proposes a method to keep the tracker robust to background clutters by online selecting discriminative features from a large feature space. Furthermore, the feature sele...
NPL
2006
13 years 7 months ago
2006
Effective backpropagation training of multi-layer perceptrons depends on the incorporation of an appropriate error or objective function. Classification-based (CB) error functions ...
CPAIOR
2004
Springer
13 years 11 months ago
2004
Springer
Abstract. Over the past years, a number of increasingly expressive languages for modelling constraint and optimisation problems have evolved. In developing a strategy to ease the c...
ESANN
2007
13 years 9 months ago
2007
Abstract. The convex optimisation problem involved in fitting a kernel probit regression (KPR) model can be solved efficiently via an iteratively re-weighted least-squares (IRWLS)...
ICCV
2003
IEEE
14 years 9 months ago
2003
IEEE
This paper presents a method for evaluating multiple feature spaces while tracking, and for adjusting the set of features used to improve tracking performance. Our hypothesis is t...