1956 search results - page 107 / 392 » Learning the Relative Importance of Features in Image Data |
165
Voted
SDM
2011
SIAM
14 years 6 months ago
2011
SIAM
Extracting semantic relations between entities is an important step towards automatic text understanding. In this paper, we propose a novel Semi-supervised Convolution Graph Kerne...
144
Voted
NIPS
2008
15 years 5 months ago
2008
We introduce a family of unsupervised algorithms, numerical taxonomy clustering, to simultaneously cluster data, and to learn a taxonomy that encodes the relationship between the ...
121
Voted
KAIS
2007
15 years 3 months ago
2007
With the proliferation of extremely high-dimensional data, feature selection algorithms have become indispensable components of the learning process. Strangely, despite extensive ...
151
Voted
CIKM
2008
Springer
15 years 5 months ago
2008
Springer
In this work we try to bridge the gap often encountered by researchers who find themselves with few or no labeled examples from their desired target domain, yet still have access ...
156
Voted
ICCV
2009
IEEE
15 years 1 months ago
2009
IEEE
Hybrid generative-discriminative techniques and, in particular, generative score-space classification methods have proven to be valuable approaches in tackling difficult object or...