571 search results - page 21 / 115 » Learning with Constrained and Unlabelled Data |
ICCV
2009
IEEE
15 years 3 months ago
2009
IEEE
Random Forests (RFs) have become commonplace
in many computer vision applications. Their
popularity is mainly driven by their high computational
efficiency during both training ...
SMC
2007
IEEE
14 years 4 months ago
2007
IEEE
— We consider learning in a transductive setting using instance-based learning (k-NN) and present a method for constructing a data-dependent distance “metric” using both labe...
CVPR
2005
IEEE
15 years 2 days ago
2005
IEEE
For large scale automatic semantic video characterization, it is necessary to learn and model a large number of semantic concepts. But a major obstacle to this is the insufficienc...
PAKDD
2005
ACM
14 years 3 months ago
2005
ACM
Self-training is a semi-supervised learning algorithm in which a learner keeps on labeling unlabeled examples and retraining itself on an enlarged labeled training set. Since the s...
ICASSP
2011
IEEE
13 years 1 months 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...