627 search results - page 1 / 126 » Structural Learning of Activities from Sparse Datasets |
PERCOM
2007
ACM
14 years 3 months ago
2007
ACM
Abstract. A major challenge in pervasive computing is to learn activity patterns, such as bathing and cleaning from sensor data. Typical sensor deployments generate sparse datasets...
LOCA
2009
Springer
13 years 9 months ago
2009
Springer
Abstract. Activity recognition has attracted increasing attention in recent years due to its potential to enable a number of compelling contextaware applications. As most approache...
SAINT
2005
IEEE
13 years 10 months ago
2005
IEEE
Inductive Logic Programming (ILP) is a combination of inductive learning and first-order logic aiming to learn first-order hypotheses from training examples. ILP has a serious b...
ISNN
2007
Springer
13 years 10 months ago
2007
Springer
This paper investigates a mechanism for reliable generation of sparse code in a sparsely connected, hierarchical, learning memory. Activity reduction is accomplished with local com...
NIPS
2007
13 years 5 months ago
2007
Unsupervised learning algorithms aim to discover the structure hidden in the data, and to learn representations that are more suitable as input to a supervised machine than the ra...