631 search results - page 28 / 127 » Selecting Useful Groups of Features in a Connectionist Frame... |
ICML
2004
IEEE
14 years 8 months ago
2004
IEEE
Kernel conditional random fields (KCRFs) are introduced as a framework for discriminative modeling of graph-structured data. A representer theorem for conditional graphical models...
IJCNN
2006
IEEE
14 years 1 months ago
2006
IEEE
— In connectionist learning, one relevant problem is “catastrophic forgetting” that may occur when a network, trained with a large set of patterns, has to learn new input pat...
COLING
2008
13 years 9 months ago
2008
We conduct large-scale experiments to investigate optimal features for classification of verbs in biomedical texts. We introduce a range of feature sets and associated extraction ...
MM
2006
ACM
14 years 1 months ago
2006
ACM
Many recent studies perform annotation of paintings based on brushwork. In these studies the brushwork is modeled indirectly as part of the annotation of high-level artistic conce...
ICIP
2006
IEEE
14 years 9 months ago
2006
IEEE
The ability to automatically detect visually interesting regions in images has practical applications in the design of active machine vision systems. Analysis of the statistics of...