1012 search results - page 54 / 203 » A Learning Classifier Approach to Tomography |
91
Voted
MLDM
2007
Springer
15 years 6 months ago
2007
Springer
This paper presents a novel solution for the problem of building text classifier using positive documents (P) and unlabeled documents (U). Here, the unlabeled documents are mixed w...
117
Voted
CVPR
2009
IEEE
16 years 7 months ago
2009
IEEE
Multiple-instance Learning (MIL) is a new paradigm
of supervised learning that deals with the classification of
bags. Each bag is presented as a collection of instances
from whi...
108
click to vote
CVPR
2007
IEEE
16 years 2 months ago
2007
IEEE
The state-of-the-art object detection algorithm learns a binary classifier to differentiate the foreground object from the background. Since the detection algorithm exhaustively s...
108
Voted
CVPR
2006
IEEE
16 years 2 months ago
2006
IEEE
We tackle the problem of automatically classifying cardiac view for an echocardiographic sequence as a multiclass object detection. As a solution, we present an imagebased multicl...
95
Voted
KDD
2004
ACM
16 years 1 months ago
2004
ACM
This paper proposes a novel Data Envelopment Analysis (DEA) based approach for model combination. We first prove that for the 2-class classification problems DEA models identify t...