243 search results - page 2 / 49 » Informed Selection of Training Examples for Knowledge Refine... |
ICCV
2005
IEEE
14 years 7 months ago
2005
IEEE
Object identification (OID) is specialized recognition where the category is known (e.g. cars) and the algorithm recognizes an object's exact identity (e.g. Bob's BMW). ...
CVPR
2010
IEEE
14 years 1 months ago
2010
IEEE
Learning object categories from small samples is a challenging problem, where machine learning tools can in general provide very few guarantees. Exploiting prior knowledge may be ...
TCBB
2011
13 years 8 days ago
2011
—In biomedical data, the imbalanced data problem occurs frequently and causes poor prediction performance for minority classes. It is because the trained classifiers are mostly d...
CVPR
2007
IEEE
2007
IEEE
Discriminative Cluster Refinement: Improving Object Category Recognition Given Limited Training Data
14 years 7 months ago
A popular approach to problems in image classification is to represent the image as a bag of visual words and then employ a classifier to categorize the image. Unfortunately, a si...
UIST
2009
ACM
13 years 12 months ago
2009
ACM
Interaction with large unstructured datasets is difficult because existing approaches, such as keyword search, are not always suited to describing concepts corresponding to the di...