1547 search results - page 126 / 310 » Learning a Classification Model for Segmentation |
136
click to vote
ECML
2006
Springer
15 years 8 months ago
2006
Springer
Abstract. In this paper, we propose a new method for learning to rank. `Ranking SVM' is a method for performing the task. It formulizes the problem as that of binary classific...
186
click to vote
PAMI
2012
13 years 7 months ago
2012
—Modeling data with linear combinations of a few elements from a learned dictionary has been the focus of much recent research in machine learning, neuroscience, and signal proce...
166
click to vote
WEBI
2010
Springer
15 years 2 months ago
2010
Springer
The widespread use of ontologies to associate semantics with data has resulted in a growing interest in the problem of learning predictive models from data sources that use differe...
135
Voted
ESANN
2008
15 years 6 months ago
2008
Abstract. This paper discusses a machine learning approach for binary classification problems which satisfies the specific requirements of safety-related applications. The approach...
157
click to vote
CVPR
2010
IEEE
16 years 1 months ago
2010
IEEE
We present an active learning framework to simultaneously learn appearance and contextual models for scene understanding tasks (multi-class classification). Existing multi-class a...