801 search results - page 42 / 161 » The Inefficiency of Batch Training for Large Training Sets |
JMLR
2006
13 years 8 months ago
2006
We discuss the problem of learning to rank labels from a real valued feedback associated with each label. We cast the feedback as a preferences graph where the nodes of the graph ...
IJCNN
2008
IEEE
14 years 3 months ago
2008
IEEE
— Ordinal regression is an important type of learning, which has properties of both classification and regression. Here we describe an effective approach to adapt a traditional ...
MICCAI
2008
Springer
14 years 10 months ago
2008
Springer
We describe an efficient and accurate method for segmenting sets of subcortical structures in 3D MR images of the brain. We first find the approximate position of all the structure...
ICML
2004
IEEE
14 years 9 months ago
2004
IEEE
Many difficult visual perception problems, like 3D human motion estimation, can be formulated in terms of inference using complex generative models, defined over high-dimensional ...
MICCAI
2004
Springer
14 years 9 months ago
2004
Springer
We present a novel framework for learning a joint shape and appearance model from a large set of un-labelled training examples in arbitrary positions and orientations. The shape an...