2878 search results - page 141 / 576 » Learning the Common Structure of Data |
152
Voted
SDM
2007
SIAM
15 years 5 months ago
2007
SIAM
Manifold learning is an effective methodology for extracting nonlinear structures from high-dimensional data with many applications in image analysis, computer vision, text data a...
145
Voted
BIBE
2007
IEEE
15 years 10 months ago
2007
IEEE
Abstract—This paper develops an algorithm for NMR backbone resonance assignment given a 3D structure and a set of relatively sparse 15 N-edited NMR data, with the through-space 1...
153
Voted
EDBTW
2010
Springer
15 years 7 months ago
2010
Springer
Successfully structuring information in databases, OLAP cubes, and XML is a crucial element in managing data nowadays. However this process brought new challenges to usability. It...
137
Voted
ACL
1996
15 years 5 months ago
1996
In this paper, we present a new approach for word sense disambiguation (WSD) using an exemplar-based learning algorithm. This approach integrates a diverse set of knowledge source...
148
Voted
ACL
2012
13 years 6 months ago
2012
This paper presents a novel sequence labeling model based on the latent-variable semiMarkov conditional random fields for jointly extracting argument roles of events from texts. ...