Recovering facial pose with the EM algorithm
β Scribed by Kwang Nam Choi; Marco Carcassoni; Edwin R. Hancock
- Publisher
- Elsevier Science
- Year
- 2002
- Tongue
- English
- Weight
- 897 KB
- Volume
- 35
- Category
- Article
- ISSN
- 0031-3203
No coin nor oath required. For personal study only.
π SIMILAR VOLUMES
This paper demonstrates how the EM algorithm can be used for learning and matching mixtures of point distribution models. We make two contributions. First, we show how shape-classes can be learned in an unsupervised manner. We present a fast procedure for training point distribution models using the
Incomplete covariate data is a common occurrence in many studies in which the outcome is survival time. With generalized linear models, when the missing covariates are categorical, a useful technique for obtaining parameter estimates is the EM by the method of weights proposed in Ibrahim (1990). In
## Abstract The throughβwall imaging (TWI) problem is studied within the context of EM inverse scattering in this article.A novel real time TWI algorithm is proposed by employing the spectrum Green's function and exploding source model under Born approximation. The complex scattering process becaus
## Objective: We would like to improve the image reconstructions for both signal-to-noise ratio (snr) and spatial resolution characteristics for the small animal positron emission tomograph yap-pet, built at the department of physics of ferrara university. the three-dimensional (3d) filtered backpr