356 search results - page 27 / 72 » Probabilistic Models for Expert Finding |
149
Voted
MICCAI
2010
Springer
15 years 16 days ago
2010
Springer
Abstract. Updating segmentation results in real-time based on repeated user input is a reliable way to guarantee accuracy, paramount in medical imaging applications, while making e...
120
Voted
ICDAR
2009
IEEE
15 years 9 months ago
2009
IEEE
Hidden Markov Models (HMM) are probabilistic graphical models for interdependent classification. In this paper we experiment with different ways of combining the components of an ...
112
Voted
SOCO
2008
Springer
15 years 2 months ago
2008
Springer
We introduce a new method for data clustering based on a particular Gaussian mixture model (GMM). Each cluster of data, modeled as a GMM into an input space, is interpreted as a hy...
105
Voted
UML
1998
Springer
15 years 6 months ago
1998
Springer
At British Airways, we have found during several large OO projects documented using the UML that non-technical end-users, managers and business domain experts find it difficult to ...
136
Voted
CVPR
2008
IEEE
16 years 4 months ago
2008
IEEE
We consider the problem of finding a matching between two sets of features, given complex relations among them, going beyond pairwise. Each feature set is modeled by a hypergraph ...