619 search results - page 31 / 124 » Experimental Evaluation of Hierarchical Hidden Markov Models |
135
click to vote
PERCOM
2011
ACM
14 years 5 months ago
2011
ACM
—While most activity recognition systems rely on data-driven approaches, the use of knowledge-driven techniques is gaining increasing interest. Research in this field has mainly...
AAAI
2006
15 years 3 months ago
2006
We present our work on using statistical, corpus-based machine learning techniques to simultaneously recognize an agent's current goal schemas at various levels of a hierarch...
130
click to vote
CVPR
2003
IEEE
16 years 3 months ago
2003
IEEE
The recognition of activities from sensory data is important in advanced surveillance systems to enable prediction of high-level goals and intentions of the target under surveilla...
118
click to vote
ICIP
2006
IEEE
16 years 3 months ago
2006
IEEE
This paper describes a hierarchical Bayesian network used for segmenting desert images and detecting off road drivable corridors for autonomous navigation. Unlike the embedded hid...
120
click to vote
ICASSP
2011
IEEE
14 years 5 months ago
2011
IEEE
We have recently proposed an EM-style algorithm to optimize log-linear models with hidden variables. In this paper, we use this algorithm to optimize a hidden conditional random ...