3096 search results - page 15 / 620 » Theory and Use of the EM Algorithm |
CVIU
2008
13 years 8 months ago
2008
In this paper, we present an efficient and robust algorithm for shape matching, registration, and detection. The task is to geometrically transform a source shape to fit a target ...
NIPS
1998
13 years 10 months ago
1998
Inference is a key component in learning probabilistic models from partially observable data. When learning temporal models, each of the many inference phases requires a complete ...
ICB
2007
Springer
13 years 10 months ago
2007
Springer
Gait recognition is an effective approach for human identification at a distance. During the last decade, the theory of hidden Markov models (HMMs) has been used successfully in th...
ICIP
2010
IEEE
13 years 6 months ago
2010
IEEE
We formulate the multiframe blind deconvolution problem in an incremental expectation maximization (EM) framework. Beyond deconvolution, we show how to use the same framework to a...
PDPTA
2004
13 years 10 months ago
2004
As the algorithms that are used to reconstruct medical images from measurable projection data continue to become mature, medical image reconstruction has remained an interesting a...