76 search results - page 12 / 16 » Active learning for Hidden Markov Models: objective function... |
ICMI
2005
Springer
14 years 2 months ago
2005
Springer
This paper addresses the problem of detecting interaction groups in an intelligent environment. To understand human activity, we need to identify human actors and their interperso...
NIPS
2003
13 years 10 months ago
2003
In typical classification tasks, we seek a function which assigns a label to a single object. Kernel-based approaches, such as support vector machines (SVMs), which maximize the ...
HRI
2006
ACM
14 years 2 months ago
2006
ACM
The essence of the signal-to-symbol problem consists of associating a symbolic description of an object (e.g., a chair) to a signal (e.g., an image) that captures the real object....
CVPR
2011
IEEE
13 years 9 days ago
2011
IEEE
Spatially-discrete Markov random fields (MRFs) and spatially-continuous variational approaches are ubiquitous in low-level vision, including image restoration, segmentation, opti...
CVPR
2009
IEEE
15 years 3 months ago
2009
IEEE
Markov random field (MRF, CRF) models are popular in
computer vision. However, in order to be computationally
tractable they are limited to incorporate only local interactions
a...