387 search results - page 3 / 78 » Generative versus Discriminative Methods for Object Recognit... |
PRL
2011
13 years 21 days ago
2011
: This paper addresses the inference of probabilistic classification models using weakly supervised learning. The main contribution of this work is the development of learning meth...
ICASSP
2010
IEEE
13 years 6 months ago
2010
IEEE
We present a novel discriminative training algorithm for n-gram language models for use in large vocabulary continuous speech recognition. The algorithm uses large margin estimati...
ICCV
2005
IEEE
14 years 7 months ago
2005
IEEE
The objective of this work is automatic detection and identification of individuals in unconstrained consumer video, given a minimal number of labelled faces as training data. Whi...
EMNLP
2007
13 years 7 months ago
2007
This paper proposes a framework for semi-supervised structured output learning (SOL), specifically for sequence labeling, based on a hybrid generative and discriminative approach...
CVPR
2007
IEEE
14 years 7 months ago
2007
IEEE
A major shortcoming of discriminative recognition and detection methods is their noise sensitivity, both during training and recognition. This may lead to very sensitive and britt...