1347 search results - page 107 / 270 » Using Clustering Methods for Discovering Event Structures |
135
Voted
ECCV
2008
Springer
16 years 5 months ago
2008
Springer
Abstract. We describe a new method for unsupervised structure learning of a hierarchical compositional model (HCM) for deformable objects. The learning is unsupervised in the sense...
120
Voted
ECAI
2006
Springer
15 years 7 months ago
2006
Springer
Abstract. This paper proposes a novel approach to discover options in the form of conditionally terminating sequences, and shows how they can be integrated into reinforcement learn...
170
Voted
ICCV
2011
IEEE
14 years 3 months ago
2011
IEEE
In this paper, we present an event parsing algorithm based on Stochastic Context Sensitive Grammar (SCSG) for understanding events, inferring the goal of agents, and predicting th...
108
Voted
JGAA
2007
15 years 3 months ago
2007
The cluster structure of many real-world graphs is of great interest, as the clusters may correspond e.g. to communities in social networks or to cohesive modules in software syst...
155
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IPCV
2008
15 years 5 months ago
2008
Abstract - A robust method for symbol recognition is presented that utilizes a compact signature based on a modified Hough Transform (HT) and knowledge-based hierarchical neural ne...