26 search results - page 3 / 6 » Learning Hybrid Models for Image Annotation with Partially L... |
NIPS
2008
13 years 7 months ago
2008
Learning graphical models with hidden variables can offer semantic insights to complex data and lead to salient structured predictors without relying on expensive, sometime unatta...
SIGIR
2008
ACM
13 years 5 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...
MIR
2005
ACM
13 years 11 months ago
2005
ACM
In this paper, we will propose a novel semi-automatic annotation scheme for video semantic classification. It is well known that the large gap between high-level semantics and low...
KDD
2012
ACM
11 years 8 months ago
2012
ACM
Multi-instance multi-label learning (MIML) is a framework for supervised classification where the objects to be classified are bags of instances associated with multiple labels....
SDM
2007
SIAM
13 years 7 months ago
2007
SIAM
We propose an unsupervised approach to learn associations between continuous-valued attributes from different modalities. These associations are used to construct a multi-modal t...