552 search results - page 6 / 111 » Abstracting from Robot Sensor Data using Hidden Markov Model... |
CORR
2010
Springer
13 years 2 months ago
2010
Springer
In prediction with expert advice the goal is to design online prediction algorithms that achieve small regret (additional loss on the whole data) compared to a reference scheme. I...
CVPR
2003
IEEE
14 years 9 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...
ICASSP
2008
IEEE
14 years 1 months ago
2008
IEEE
We are interested in recovering aspects of vocal tract’s geometry and dynamics from auditory and visual speech cues. We approach the problem in a statistical framework based on ...
DAWAK
2007
Springer
14 years 1 months ago
2007
Springer
Many studies of spatiotemporal pattern discovery partition data space into disjoint cells for effective processing. However, the discovery accuracy of the space-partitioning schem...
BMCBI
2004
13 years 7 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...