69 search results - page 2 / 14 » Random Sampling of Labeled Tournaments |
ICPR
2004
IEEE
14 years 6 months ago
2004
IEEE
In this paper, a new selective sampling method for the active learning framework is presented. Initially, a small training set ? and a large unlabeled set ? are given. The goal is...
ICCV
2003
IEEE
14 years 7 months ago
2003
IEEE
Labeling video data is an essential prerequisite for many vision applications that depend on training data, such as visual information retrieval, object recognition, and human act...
CVPR
2012
IEEE
11 years 7 months ago
2012
IEEE
We present a generic framework for object segmentation using depth maps based on Random Forest and Graph-cuts theory, and apply it to the segmentation of human limbs in depth maps...
IROS
2009
IEEE
13 years 12 months ago
2009
IEEE
— In this paper we present a new approach for labeling 3D points with different geometric surface primitives using a novel feature descriptor – the Fast Point Feature Histogram...
JMLR
2012
11 years 7 months ago
2012
A challenging problem of multi-label learning is that both the label space and the model complexity will grow rapidly with the increase in the number of labels, and thus makes the...