76 search results - page 2 / 16 » Discovering Dynamics Using Bayesian Clustering |
CVPR
2008
IEEE
15 years 11 months ago
2008
IEEE
Clustering is a fundamental task in many vision applications. To date, most clustering algorithms work in a batch setting and training examples must be gathered in a large group b...
99
Voted
NIPS
2008
14 years 11 months ago
2008
Motor primitives or motion templates have become an important concept for both modeling human motor control as well as generating robot behaviors using imitation learning. Recent ...
84
Voted
ICC
2008
IEEE
15 years 4 months ago
2008
IEEE
— The complexity of current Internet applications makes the understanding of network traffic a challenging task. By providing larger-scale aggregates for analysis, unsupervised ...
JFR
2006
14 years 9 months ago
2006
We derive categories directly from robot sensor data to address the symbol grounding problem. Unlike model-based approaches where human intuitive correspondences are sought betwee...
AI
2008
Springer
14 years 11 months ago
2008
Springer
This paper presents a statistical model for discovering topical clusters of words in unstructured text. The model uses a hierarchical Bayesian structure and it is also able to iden...