5 search results - page 1 / 1 » On the Minimum Entropy of a Mixture of Unimodal and Symmetri... |
TIT
2008
13 years 5 months ago
2008
Progressive encoding of a signal generally involves an estimation step, designed to reduce the entropy of the residual of an observation over the entropy of the observation itself....
NIPS
2004
13 years 6 months ago
2004
We consider the semi-supervised learning problem, where a decision rule is to be learned from labeled and unlabeled data. In this framework, we motivate minimum entropy regulariza...
VLSISP
1998
13 years 4 months ago
1998
This paper presents an adaptive structure self-organizing finite mixture network for quantification of magnetic resonance (MR) brain image sequences. We present justification fo...
TCOM
2011
13 years 4 days ago
2011
—Using high-rate theory approximations we introduce flexible practical quantizers based on possibly non-Gaussian models in both the constrained resolution (CR) and the constrain...
ICCV
2009
IEEE
14 years 10 months ago
2009
IEEE
This paper proposes a new affine registration algorithm
for matching two point sets in IR2 or IR3. The input point
sets are represented as probability density functions, using
e...