1859 search results - page 110 / 372 » Using Problems to Learn Service-Oriented Computing |
153
Voted
ECCV
2010
Springer
15 years 5 months ago
2010
Springer
Abstract. Multiple-instance learning (MIL) allows for training classifiers from ambiguously labeled data. In computer vision, this learning paradigm has been recently used in many ...
164
Voted
ICCV
2011
IEEE
14 years 5 months ago
2011
IEEE
Our objective is transfer training of a discriminatively trained object category detector, in order to reduce the number of training images required. To this end we propose three ...
131
Voted
ICRA
2000
IEEE
15 years 9 months ago
2000
IEEE
Mobile robots require the ability to build their own maps to operate in unknown environments. A fundamental problem is that odometry-based dead reckoning cannot be used to assign ...
126
Voted
NECO
2002
15 years 4 months ago
2002
A Bayesian ensemble learning method is introduced for unsupervised extraction of dynamic processes from noisy data. The data are assumed to be generated by an unknown nonlinear ma...
160
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AROBOTS
2002
15 years 4 months ago
2002
To navigate in unknown environments, mobile robots require the ability to build their own maps. A major problem for robot map building is that odometry-based dead reckoning cannot ...