899 search results - page 91 / 180 » Is an ordinal class structure useful in classifier learning |
ICML
2000
IEEE
14 years 9 months ago
2000
IEEE
This paper has no novel learning or statistics: it is concerned with making a wide class of preexisting statistics and learning algorithms computationally tractable when faced wit...
CVPR
2005
IEEE
14 years 10 months ago
2005
IEEE
We present a new approach, called local discriminant embedding (LDE), to manifold learning and pattern classification. In our framework, the neighbor and class relations of data a...
CVPR
2000
IEEE
14 years 11 months ago
2000
IEEE
We define a process called congealing in which elements of a dataset (images) are brought into correspondence with each other jointly, producing a data-defined model. It is based ...
CORR
2011
Springer
13 years 3 months ago
2011
Springer
We consider a class of learning problems regularized by a structured sparsity-inducing norm defined as the sum of 2- or ∞-norms over groups of variables. Whereas much effort ha...
JBCB
2010
13 years 3 months ago
2010
Protein function prediction is an active area of research in bioinformatics. And yet, transfer of annotation on the basis of sequence or structural similarity remains widely used ...