1344 search results - page 191 / 269 » Learning Classifiers from Semantically Heterogeneous Data |
SI3D
2006
ACM
14 years 3 months ago
2006
ACM
Motion capture data from human subjects exhibits considerable redundancy. In this paper, we propose novel methods for exploiting this redundancy. In particular, we set out to find...
FLAIRS
2008
13 years 12 months ago
2008
Spectral Graph Transducer(SGT) is one of the superior graph-based transductive learning methods for classification. As for the Spectral Graph Transducer algorithm, a good graph re...
ISDA
2010
IEEE
13 years 7 months ago
2010
IEEE
Real life datasets often suffer from the problem of class imbalance, which thwarts supervised learning process. In such data sets examples of positive (minority) class are signific...
ICASSP
2011
IEEE
13 years 1 months ago
2011
IEEE
In many contexts, one is confronted with the problem of extracting information from large amounts of different types soft data (e.g., text) and hard data (from e.g., physics-based...
AAAI
2008
13 years 12 months ago
2008
When building an application that requires object class recognition, having enough data to learn from is critical for good performance, and can easily determine the success or fai...