399 search results - page 18 / 80 » Robust Boosting for Learning from Few Examples |
ICIP
2008
IEEE
15 years 11 months ago
2008
IEEE
Pedestrian detection in still image should handle the large appearance and pose variations arising from the articulated structure and various clothing of human bodies as well as v...
ICPR
2010
IEEE
14 years 7 months ago
2010
IEEE
In this paper we redefine and generalize the classic k-nearest neighbors (k-NN) voting rule in a Bayesian maximum-a-posteriori (MAP) framework. Therefore, annotated examples are u...
ACL
2007
14 years 11 months ago
2007
We present a new approach to relation extraction that requires only a handful of training examples. Given a few pairs of named entities known to exhibit or not exhibit a particula...
NAACL
2007
14 years 11 months ago
2007
We propose a new framework for supervised machine learning. Our goal is to learn from smaller amounts of supervised training data, by collecting a richer kind of training data: an...
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COLING
2008
14 years 11 months ago
2008
Most studies in statistical or machine learning based authorship attribution focus on two or a few authors. This leads to an overestimation of the importance of the features extra...