102 search results - page 2 / 21 » Multi-Label Learning with Weak Label |
ICTAI
2010
IEEE
13 years 2 months ago
2010
IEEE
Multi-label classification is a popular learning task. However, some of the algorithms that learn from multi-label data, can only output a score for each label, so they cannot be r...
ICML
2010
IEEE
13 years 5 months ago
2010
IEEE
We propose a max-margin formulation for the multi-label classification problem where the goal is to tag a data point with a set of pre-specified labels. Given a set of L labels, a...
ICTAI
2010
IEEE
13 years 2 months ago
2010
IEEE
Ensemble pruning is concerned with the reduction of the size of an ensemble prior to its combination. Its purpose is to reduce the space and time complexity of the ensemble and/or ...
TMM
2010
12 years 11 months ago
2010
Abstract--Automatic video annotation is a challenging yet important problem for content-based video indexing and retrieval. In most existing works, annotation is formulated as a mu...
CVPR
2009
IEEE
15 years 1 hour ago
2009
IEEE
In this paper, we present a multi-label sparse coding
framework for feature extraction and classification within
the context of automatic image annotation. First, each image
is ...