166 search results - page 11 / 34 » Semi-supervised Learning from Only Positive and Unlabeled Da... |
ICCV
2003
IEEE
14 years 10 months ago
2003
IEEE
One significant challenge in the construction of visual detection systems is the acquisition of sufficient labeled data. This paper describes a new technique for training visual d...
ICASSP
2011
IEEE
13 years 9 days ago
2011
IEEE
Current hidden Markov acoustic modeling for large vocabulary continuous speech recognition (LVCSR) relies on the availability of abundant labeled transcriptions. Given that speech...
NIPS
2001
13 years 10 months ago
2001
This paper presents an unsupervised learning algorithm that can derive the probabilistic dependence structure of parts of an object (a moving human body in our examples) automatic...
ICANN
2009
Springer
14 years 1 months ago
2009
Springer
This paper proposes a modelling of Support Vector Machine (SVM) learning to address the problem of learning with sloppy labels. In binary classification, learning with sloppy labe...
ICASSP
2009
IEEE
14 years 3 months ago
2009
IEEE
We propose a new active learning algorithm to address the problem of selecting a limited subset of utterances for transcribing from a large amount of unlabeled utterances so that ...