111 search results - page 2 / 23 » A Bi-clustering Framework for Categorical Data |
81
Voted
CVPR
2004
IEEE
15 years 1 months ago
2004
IEEE
This paper formulates the problem of object categorization in the discriminant analysis framework focusing on transforming visual feature data so as to make it conform to the comp...
NAACL
2007
14 years 11 months ago
2007
We propose a new framework for supervised machine learning. Our goal is to learn from smaller amounts of supervised training data, by collecting a richer kind of training data: an...
70
Voted
PKDD
2005
Springer
15 years 3 months ago
2005
Springer
Bi-clustering is a promising conceptual clustering approach. Within categorical data, it provides a collection of (possibly overlapping) bi-clusters, i.e., linked clusters for both...
JBI
2008
14 years 9 months ago
2008
The term registry is widely used to refer to any database storing clinical information collected as a byproduct of patient care. Despite the use of this single characterizing term...
80
Voted
ICCV
2007
IEEE
15 years 11 months ago
2007
IEEE
In the task of visual object categorization, semantic context can play the very important role of reducing ambiguity in objects' visual appearance. In this work we propose to...