712 search results - page 41 / 143 » Pruning Training Sets for Learning of Object Categories |
ICPR
2004
IEEE
14 years 10 months ago
2004
IEEE
: A new method is presented to learn object categories from unlabeled and unsegmented images for generic object recognition. We assume that each object can be characterized by a se...
ICCV
2007
IEEE
14 years 11 months ago
2007
IEEE
In the task of visual object categorization, semantic context can play the very important role of reducing ambiguity in objects' visual appearance. In this work we propose to...
PROMISE
2010
13 years 3 months ago
2010
BACKGROUND: Defect predictors learned from static code measures can isolate code modules with a higher than usual probability of defects. AIMS: To improve those learners by focusi...
ICML
2009
IEEE
14 years 9 months ago
2009
IEEE
Many learning algorithms rely on the curvature (in particular, strong convexity) of regularized objective functions to provide good theoretical performance guarantees. In practice...
IJCAI
1989
13 years 10 months ago
1989
Several published reports show that instancebased learning algorithms yield high classification accuracies and have low storage requirements during supervised learning application...