221 search results - page 22 / 45 » Discriminative training by iterative linear programming opti... |
ICMCS
2006
IEEE
14 years 1 months ago
2006
IEEE
In this paper, we present an AUC (i.e., the Area Under the Curve of Receiver Operating Characteristics (ROC)) maximization based learning algorithm to design the classifier for ma...
ICCV
2007
IEEE
14 years 9 months ago
2007
IEEE
In many vision problems, instead of having fully labeled training data, it is easier to obtain the input in small groups, where the data in each group is constrained to be from th...
CRV
2005
IEEE
14 years 1 months ago
2005
IEEE
The extraction of optimal features, in a classification sense, is still quite challenging in the context of large-scale classification problems (such as visual recognition), inv...
PE
2010
Springer
13 years 6 months ago
2010
Springer
Solution of large sparse linear fixed-point problems lies at the heart of many important performance analysis calculations. These calculations include steady-state, transient and...
ESANN
2008
13 years 9 months ago
2008
Sequential Minimal Optimization (SMO) is currently the most popular algorithm to solve large quadratic programs for Support Vector Machine (SVM) training. For many variants of this...