91 search results - page 9 / 19 » Using output codes to boost multiclass learning problems |
UAI
2008
14 years 9 days ago
2008
In many machine learning problems, labeled training data is limited but unlabeled data is ample. Some of these problems have instances that can be factored into multiple views, ea...
PR
2008
13 years 10 months ago
2008
This paper presents a new study on a method of designing a multi-class classifier: Data-driven Error Correcting Output Coding (DECOC). DECOC is based on the principle of Error Cor...
CVPR
2006
IEEE
15 years 27 days ago
2006
IEEE
We address the problem of multiclass object detection. Our aims are to enable models for new categories to benefit from the detectors built previously for other categories, and fo...
FLAIRS
2007
14 years 1 months ago
2007
Recent work highlights advantages in decomposing multiclass decision problems into multiple binary problems. Several strategies have been proposed for this decomposition. The most...
ACCV
2006
Springer
14 years 26 days ago
2006
Springer
Abstract. We propose an algorithm for Sparse Bayesian Classification for multi-class problems using Automatic Relevance Determination(ARD). Unlike other approaches which treat mult...