106 search results - page 2 / 22 » Supervised Learning of Semantic Classes for Image Annotation... |
EMNLP
2009
13 years 2 months ago
2009
The work presented in this paper explores a supervised method for learning a probabilistic model of a lexicon of VerbNet classes. We intend for the probabilistic model to provide ...
ICMCS
2005
IEEE
13 years 10 months ago
2005
IEEE
Multiple Instance Learning (MIL) is a special kind of supervised learning problem that has been studied actively in recent years. In this paper, we propose an approach based on On...
VIP
2003
13 years 6 months ago
2003
To bridge the semantic gap in content-based image retrieval, detecting meaningful visual entities (e.g. faces, sky, foliage, buildings etc) in image content and classifying images...
NIPS
2003
13 years 6 months ago
2003
We propose an approach to learning the semantics of images which allows us to automatically annotate an image with keywords and to retrieve images based on text queries. We do thi...
SIGIR
2008
ACM
13 years 4 months ago
2008
ACM
We study in this paper the problem of bridging the semantic gap between low-level image features and high-level semantic concepts, which is the key hindrance in content-based imag...