4660 search results - page 594 / 932 » Learning from imperfect data |
136
Voted
SSPR
2010
Springer
14 years 11 months ago
2010
Springer
Many approaches to learning classifiers for structured objects (e.g., shapes) use generative models in a Bayesian framework. However, state-of-the-art classifiers for vectorial d...
131
Voted
IROS
2009
IEEE
15 years 7 months ago
2009
IEEE
Abstract— Road network information (RNI) simplifies autonomous driving by providing strong priors about driving environments. Its usefulness has been demonstrated in the DARPA U...
127
Voted
SAC
2003
ACM
15 years 6 months ago
2003
ACM
The construction of a text classifier usually involves (i) a phase of term selection, in which the most relevant terms for the classification task are identified, (ii) a phase ...
219
Voted
ALT
2011
Springer
14 years 1 months ago
2011
Springer
Deep architectures are families of functions corresponding to deep circuits. Deep Learning algorithms are based on parametrizing such circuits and tuning their parameters so as to ...
153
Voted
CCGRID
2007
IEEE
15 years 7 months ago
2007
IEEE
Experimental performance studies on computer systems, including Grids, require deep understandings on their workload characteristics. The need arises from two important and closel...