56 search results - page 2 / 12 » Inferring State Sequences for Non-linear Systems with Embedd... |
ICML
2010
IEEE
13 years 6 months ago
2010
IEEE
Hidden Markov Models (HMMs) are important tools for modeling sequence data. However, they are restricted to discrete latent states, and are largely restricted to Gaussian and disc...
ICCV
2007
IEEE
14 years 7 months ago
2007
IEEE
An ideal shape model should be both invariant to global transformations and robust to local distortions. In this paper we present a new shape modeling framework that achieves both...
CVPR
2012
IEEE
11 years 7 months ago
2012
IEEE
Recent studies on visual tracking have shown significant improvement in accuracy by handling the appearance variations of the target object. Whereas most studies present schemes ...
MVA
2007
13 years 4 months ago
2007
We propose an algorithm for extracting facial features robustly from images for face recognition under large pose variation. Rectangular facial features are retrieved via the by-p...
ECML
2006
Springer
13 years 9 months ago
2006
Springer
The standard approach for learning Markov Models with Hidden State uses the Expectation-Maximization framework. While this approach had a significant impact on several practical ap...