922 search results - page 117 / 185 » Learning Gaussian Process Models from Uncertain Data |
112
Voted
ISPW
2008
IEEE
15 years 9 months ago
2008
IEEE
Most process models calibrate their internal settings using historical data. Collecting this data is expensive, tedious, and often an incomplete process. Is it possible to make acc...
138
click to vote
KDD
2004
ACM
16 years 2 months ago
2004
ACM
We propose a new unsupervised learning technique for extracting information from large text collections. We model documents as if they were generated by a two-stage stochastic pro...
149
Voted
ICIP
2009
IEEE
16 years 3 months ago
2009
IEEE
We consider the problem of head tracking and pose estimation in realtime from low resolution images. Tracking and pose recognition are treated as two coupled problems in a probabi...
129
click to vote
IJCNLP
2005
Springer
15 years 8 months ago
2005
Springer
Abstract. We present a new implication of Wu’s (1997) Inversion Transduction Grammar (ITG) Hypothesis, on the problem of retrieving truly parallel sentence translations from larg...
KDD
2005
ACM
16 years 2 months ago
2005
ACM
In several organizations, it has become increasingly popular to document and log the steps that makeup a typical business process. In some situations, a normative workflow model o...