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145
Voted
NIPS
2004
15 years 4 months ago
2004
We use unsupervised probabilistic machine learning ideas to try to explain the kinds of learning observed in real neurons, the goal being to connect abstract principles of self-or...
144
Voted
MICCAI
2009
Springer
16 years 3 months ago
2009
Springer
We present a novel method for the automatic detection and segmentation of (sub-)cortical gray matter structures in 3-D magnetic resonance images of the human brain. Essentially, th...
123
Voted
CVPR
2010
IEEE
15 years 10 months ago
2010
IEEE
Pictorial structure (PS) models are extensively used for part-based recognition of scenes, people, animals and multi-part objects. To achieve tractability, the structure and param...
159
Voted
CVPR
2010
IEEE
15 years 19 days ago
2010
IEEE
Pictorial structure (PS) models are extensively used for part-based recognition of scenes, people, animals and multi-part objects. To achieve tractability, the structure and param...
120
Voted
CICLING
2008
Springer
15 years 4 months ago
2008
Springer
We investigate the effect of encoding additional semantic and syntactic information sources in a classification-based machine learning approach to the task of coreference resolutio...