1921 search results - page 240 / 385 » Learning from sensor network data |
114
Voted
ICML
2009
IEEE
16 years 3 months ago
2009
IEEE
Markov logic networks (MLNs) combine logic and probability by attaching weights to first-order clauses, and viewing these as templates for features of Markov networks. Learning ML...
135
Voted
ICCV
1999
IEEE
16 years 4 months ago
1999
IEEE
The human figure exhibits complex and rich dynamic behavior that is both nonlinear and time-varying. However, most work on tracking and synthesizing figure motion has employed eit...
153
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HYBRID
2000
Springer
15 years 6 months ago
2000
Springer
Abstract. Switching linear dynamic systems (SLDS) attempt to describe a complex nonlinear dynamic system with a succession of linear models indexed by a switching variable. Unfortu...
158
Voted
NPL
2006
15 years 2 months ago
2006
In multi-instance learning, the training examples are bags composed of instances without labels, and the task is to predict the labels of unseen bags through analyzing the training...
121
Voted
IADIS
2004
15 years 4 months ago
2004
A distributed monitoring system has been developed, which is organized with network cameras, an integrated web/mail server, web-based clients including high-performance cellular p...