27 search results - page 2 / 6 » Semi-Supervised Sequence Classification with HMMs |
MVA
2007
13 years 6 months ago
2007
of the fundamental challenges of human action recognition is accounting for the variability that arises during video capturing. For a specific action class, the 2D observations of...
BMCBI
2010
12 years 11 months ago
2010
Background: Profile HMMs (hidden Markov models) provide effective methods for modeling the conserved regions of protein families. A limitation of the resulting domain models is th...
ICPR
2004
IEEE
14 years 5 months ago
2004
IEEE
Segmentation of individual actions from a stream of human motion is an open problem in computer vision. This paper approaches the problem of segmenting higher-level activities int...
BMCBI
2004
13 years 4 months ago
2004
Background: Hidden Markov Models (HMMs) have proven very useful in computational biology for such applications as sequence pattern matching, gene-finding, and structure prediction...
CVPR
2010
IEEE
14 years 27 days ago
2010
IEEE
When classifying high-dimensional sequence data, traditional methods (e.g., HMMs, CRFs) may require large amounts of training data to avoid overfitting. In such cases dimensional...