210 search results - page 2 / 42 » Computable social patterns from sparse sensor data |
ICASSP
2011
IEEE
12 years 8 months ago
2011
IEEE
The Common Spatial Pattern (CSP) method is a powerful technique for feature extraction from multichannel neural activity and widely used in brain computer interface (BCI) applicat...
KDD
2010
ACM
13 years 6 months ago
2010
ACM
We consider the problem of learning incoherent sparse and lowrank patterns from multiple tasks. Our approach is based on a linear multi-task learning formulation, in which the spa...
SDM
2007
SIAM
13 years 6 months ago
2007
SIAM
Given a large sparse graph, how can we find patterns and anomalies? Several important applications can be modeled as large sparse graphs, e.g., network traffic monitoring, resea...
RTSS
2007
IEEE
13 years 11 months ago
2007
IEEE
— Many applications of sensor networks require the base station to collect all the data generated by sensor nodes. As a consequence many-to-one communication pattern, referred to...
IPSN
2007
Springer
13 years 11 months ago
2007
Springer
We study the problem of aggregating data from a sparse set of nodes in a wireless sensor network. This is a common situation when a sensor network is deployed to detect relatively...