1427 search results - page 102 / 286 » Learning with Annotation Noise |
137
Voted
ICML
2010
IEEE
15 years 5 months ago
2010
IEEE
Deep Belief Networks (DBNs) are hierarchical generative models which have been used successfully to model high dimensional visual data. However, they are not robust to common vari...
160
Voted
CVPR
2012
IEEE
13 years 6 months ago
2012
IEEE
While Boltzmann Machines have been successful at unsupervised learning and density modeling of images and speech data, they can be very sensitive to noise in the data. In this pap...
131
Voted
OTM
2004
Springer
15 years 9 months ago
2004
Springer
Abstract. This paper presents a knowledge-based approach to eLearning, where the domain ontology plays central role as a resource structuring the learning content and supporting ï¬...
172
click to vote
CVPR
2005
IEEE
15 years 5 months ago
2005
IEEE
The segmentation of anatomical structures has been traditionally formulated as a perceptual grouping task, and solved through clustering and variational approaches. However, such ...
127
Voted
LREC
2010
15 years 5 months ago
2010
In the paper we investigate the impact of data size on a Word Sense Disambiguation task (WSD). We question the assumption that the knowledge acquisition bottleneck, which is known...