34 search results - page 5 / 7 » Using Clustering to Learn Distance Functions for Supervised ... |
BMCBI
2005
13 years 7 months ago
2005
Background: Several supervised and unsupervised learning tools are available to classify functional genomics data. However, relatively less attention has been given to exploratory...
GECCO
2007
Springer
14 years 1 months ago
2007
Springer
This paper introduces a method for clustering complex and linearly non-separable datasets, without any prior knowledge of the number of naturally occurring clusters. The proposed ...
CVPR
2007
IEEE
14 years 9 months ago
2007
IEEE
We introduce an exemplar model that can learn and generate a region of interest around class instances in a training set, given only a set of images containing the visual class. T...
ICMCS
2008
IEEE
14 years 1 months ago
2008
IEEE
In this paper we describe a system for automatic detection and recognition of trademarks in sports videos. We propose a compact representation of trademarks based on SIFT feature ...
CVPR
2009
IEEE
15 years 2 months ago
2009
IEEE
Scarcity and infeasibility of human supervision for large
scale multi-class classification problems necessitates active
learning. Unfortunately, existing active learning methods
...