1746 search results - page 11 / 350 » Hierarchical Unsupervised Learning |
NIPS
2008
13 years 10 months ago
2008
Distributed learning is a problem of fundamental interest in machine learning and cognitive science. In this paper, we present asynchronous distributed learning algorithms for two...
CVPR
2010
IEEE
14 years 4 months ago
2010
IEEE
We propose a data-driven, hierarchical approach for the analysis of human actions in visual scenes. In particular, we focus on the task of in-house assisted living. In such scenar...
IJCAI
2007
13 years 10 months ago
2007
This paper presents an algorithm for inferring a Structured Hidden Markov Model (S-HMM) from a set of sequences. The S-HMMs are a sub-class of the Hierarchical Hidden Markov Model...
OSDI
2008
ACM
14 years 8 months ago
2008
ACM
Because writing computer programs is hard, computer programmers are taught to use encapsulation and modularity to hide complexity and reduce the potential for errors. Their progra...
KES
2004
Springer
14 years 1 months ago
2004
Springer
– This paper describes a text categorization approach that is based on a combination of a newly designed text representation with a kNN classifier. The new text document represen...