1809 search results - page 135 / 362 » Topic Modeling Ensembles |
144
Voted
CVPR
2010
IEEE
15 years 11 months ago
2010
IEEE
We present two novel methods to automatically learn spatio-temporal dependencies of moving agents in complex dynamic scenes. They allow to discover temporal rules, such as the rig...
105
Voted
ICML
2005
IEEE
16 years 3 months ago
2005
IEEE
In this paper, we review the paradigm of inductive process modeling, which uses background knowledge about possible component processes to construct quantitative models of dynamic...
162
Voted
SDM
2008
SIAM
15 years 4 months ago
2008
SIAM
Optimally designing the location of training input points (active learning) and choosing the best model (model selection) are two important components of supervised learning and h...
168
Voted
CVPR
2009
IEEE
16 years 9 months ago
2009
IEEE
We propose a novel probabilistic framework for learning
visual models of 3D object categories by combining appearance
information and geometric constraints. Objects are
represen...
105
Voted
CSIE
2009
IEEE
15 years 9 months ago
2009
IEEE
Building a model using machine learning that can classify the sentiment of natural language text often requires an extensive set of labeled training data from the same domain as t...