4578 search results - page 161 / 916 » Learning from Multi-source Data |
125
Voted
CORR
2012
Springer
13 years 9 months ago
2012
Springer
The problem of learning the structure of Bayesian networks from complete discrete data with a limit on parent set size is considered. Learning is cast explicitly as an optimisatio...
114
click to vote
SCIA
2005
Springer
15 years 7 months ago
2005
Springer
We propose reliable outdoor object detection on mobile phone imagery from off-the-shelf devices. With the goal to provide both robust object detection and reduction of computation...
124
click to vote
ISMB
1993
15 years 3 months ago
1993
Weintroduce a parallel approach, "DT-SELECT," for selecting features used by inductive learning algorithms to predict protein secondary structure. DT-SELECTis able to ra...
126
click to vote
INTERSPEECH
2010
14 years 8 months ago
2010
We investigate incremental word learning in a Hidden Markov Model (HMM) framework suitable for human-robot interaction. In interactive learning, the tutoring time is a crucial fac...
ICASSP
2011
IEEE
14 years 5 months ago
2011
IEEE
Assuming that a set of source signals is sparsely representable in a given dictionary, we show how their sparse recovery fails whenever we can only measure a convolved observation...