94 search results - page 15 / 19 » A probabilistic framework for semi-supervised clustering |
CVPR
2011
IEEE
13 years 4 months ago
2011
IEEE
Unsupervised learning can be used to extract image representations that are useful for various and diverse vision tasks. After noticing that most biological vision systems for int...
BMCBI
2007
13 years 7 months ago
2007
Background: Transcriptional modules (TM) consist of groups of co-regulated genes and transcription factors (TF) regulating their expression. Two high-throughput (HT) experimental ...
CVPR
2008
IEEE
14 years 9 months ago
2008
IEEE
Spectral clustering and eigenvector-based methods have become increasingly popular in segmentation and recognition. Although the choice of the pairwise similarity metric (or affin...
ICCV
2007
IEEE
14 years 9 months ago
2007
IEEE
In this paper we propose a general framework to solve the articulated shape matching problem, formulated as finding point-to-point correspondences between two shapes represented b...
MICCAI
2007
Springer
14 years 8 months ago
2007
Springer
A fundamental problem when computing statistical shape models is the determination of correspondences between the instances of the associated data set. Often, homologies between po...