78 search results - page 10 / 16 » Unsupervised Object Discovery: A Comparison |
BIOINFORMATICS
2007
13 years 10 months ago
2007
: Background Clustering algorithms are widely used in the analysis of microarray data. In clinical studies, they are often applied to find groups of co-regulated genes. Clustering...
ICCV
2009
IEEE
13 years 7 months ago
2009
IEEE
This paper presents an approach to unsupervised segmentation of moving and static objects occurring in a video. Objects are, in general, spatially cohesive and characterized by lo...
HAIS
2009
Springer
14 years 2 months ago
2009
Springer
Network vulnerability assessments collect large amounts of data to be further analyzed by security experts. Data mining and, particularly, unsupervised learning can help experts an...
SADM
2010
13 years 8 months ago
2010
: Seriation is an exploratory combinatorial data analysis technique to reorder objects into a sequence along a one-dimensional continuum so that it best reveals regularity and patt...
CVPR
2006
IEEE
14 years 12 months ago
2006
IEEE
Suppose a set of images contains frequent occurrences of objects from an unknown category. This paper is aimed at simultaneously solving the following related problems: (1) unsupe...