274 search results - page 16 / 55 » Activity Recognition from Sparsely Labeled Data Using Multi-... |
SIGMOD
2010
ACM
14 years 6 days ago
2010
ACM
We consider the problem of learning a record matching package (classifier) in an active learning setting. In active learning, the learning algorithm picks the set of examples to ...
KDD
2008
ACM
14 years 7 months ago
2008
ACM
Active learning may hold the key for solving the data scarcity problem in supervised learning, i.e., the lack of labeled data. Indeed, labeling data is a costly process, yet an ac...
NIPS
2001
13 years 8 months ago
2001
We propose the framework of mutual information kernels for learning covariance kernels, as used in Support Vector machines and Gaussian process classifiers, from unlabeled task da...
EMNLP
2004
13 years 8 months ago
2004
Active learning (AL) promises to reduce the cost of annotating labeled datasets for trainable human language technologies. Contrary to expectations, when creating labeled training...
ICCV
2009
IEEE
13 years 5 months ago
2009
IEEE
Within the field of action recognition, features and descriptors are often engineered to be sparse and invariant to transformation. While sparsity makes the problem tractable, it ...