69 search results - page 13 / 14 » A segmentation method using compound Markov random fields ba... |
ICCV
2007
IEEE
14 years 9 months ago
2007
IEEE
Convolutional networks have achieved a great deal of success in high-level vision problems such as object recognition. Here we show that they can also be used as a general method ...
MICCAI
2002
Springer
14 years 7 months ago
2002
Springer
Abstract. We propose a deep study on tissue modelization and classification Techniques on T1-weighted MR images. Three approaches have been taken into account to perform this valid...
CIKM
2008
Springer
13 years 9 months ago
2008
Springer
Learning a sequence classifier means learning to predict a sequence of output tags based on a set of input data items. For example, recognizing that a handwritten word is "ca...
CVPR
2010
IEEE
14 years 3 months ago
2010
IEEE
Markov random fields (MRFs) are popular and generic probabilistic models of prior knowledge in low-level vision. Yet their generative properties are rarely examined, while applica...
KDD
2004
ACM
14 years 7 months ago
2004
ACM
Unsupervised clustering can be significantly improved using supervision in the form of pairwise constraints, i.e., pairs of instances labeled as belonging to same or different clu...