1174 search results - page 69 / 235 » Boosting for transfer learning |
123
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ICCV
2011
IEEE
14 years 1 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 ...
108
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ICONIP
2010
14 years 11 months ago
2010
Abstract. Reservoir computing approaches have been successfully applied to a variety of tasks. An inherent problem of these approaches, is, however, their variation in performance ...
105
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TSMC
2008
15 years 1 months ago
2008
In this paper, we propose two cooperative ensemble learning algorithms, i.e., NegBagg and NegBoost, for designing neural network (NN) ensembles. The proposed algorithms incremental...
111
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STOC
1999
ACM
15 years 5 months ago
1999
ACM
Oblivious polynomial evaluation is a protocol involving two parties, a sender whose input is a polynomial P, and a receiver whose input is a value α. At the end of the protocol t...
130
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ECCV
2004
Springer
16 years 3 months ago
2004
Springer
In this paper we describe the first stage of a new learning system for object detection and recognition. For our system we propose Boosting [5] as the underlying learning technique...