137 search results - page 18 / 28 » Sparse Semi-supervised Learning Using Conjugate Functions |
JMLR
2008
13 years 7 months ago
2008
We study a generative model in which hidden causes combine competitively to produce observations. Multiple active causes combine to determine the value of an observed variable thr...
TIP
2011
13 years 2 months ago
2011
—One of the major challenges in multi-view imaging is the definition of a representation that reveals the intrinsic geometry of the visual information. Sparse image representati...
RSS
2007
13 years 9 months ago
2007
— Many robot motion planning problems can be described as a combination of motion through relatively sparsely filled regions of configuration space and motion through tighter p...
ICIAP
2003
ACM
14 years 7 months ago
2003
ACM
In this paper we present a statistical learning scheme for image classification based on a mixture of old fashioned ideas and state of the art learning tools. We represent input i...
NIPS
2004
13 years 9 months ago
2004
The problem of learning a sparse conic combination of kernel functions or kernel matrices for classification or regression can be achieved via the regularization by a block 1-norm...