Sciweavers

159 search results - page 4 / 32
» Many-to-one boundary labeling
Sort
View
CVPR
2008
IEEE
15 years 11 days ago
Latent topic random fields: Learning using a taxonomy of labels
An important problem in image labeling concerns learning with images labeled at varying levels of specificity. We propose an approach that can incorporate images with labels drawn...
Xuming He, Richard S. Zemel
AAAI
2010
13 years 11 months ago
Multi-Label Learning with Weak Label
Multi-label learning deals with data associated with multiple labels simultaneously. Previous work on multi-label learning assumes that for each instance, the "full" lab...
Yu-Yin Sun, Yin Zhang, Zhi-Hua Zhou
DLOG
2009
13 years 8 months ago
Reasoning With Weighted Ontologies
We study the problem of reasoning over weighted ontologies. We assume that every axiom is labeled with an element of a distributive lattice (called its weight) and try to compute i...
Rafael Peñaloza
ISBI
2006
IEEE
14 years 11 months ago
Improved segmentation of focal cortical dysplasia lesions on MRI using expansion towards cortical boundaries
Focal cortical dysplasia (FCD), a malformation of cortical development, is an important cause of intractable epilepsy. On Magnetic Resonance Images (MRI), FCD lesions are difficul...
Olivier Colliot, Tommaso Mansi, Pierre Besson, Ned...
BMCBI
2010
117views more  BMCBI 2010»
13 years 10 months ago
New decoding algorithms for Hidden Markov Models using distance measures on labellings
Background: Existing hidden Markov model decoding algorithms do not focus on approximately identifying the sequence feature boundaries. Results: We give a set of algorithms to com...
Daniel G. Brown 0001, Jakub Truszkowski