661 search results - page 73 / 133 » Generalized clustering, supervised learning, and data assign... |
124
Voted
ACL
2006
15 years 4 months ago
2006
We investigate generalizations of the allsubtrees "DOP" approach to unsupervised parsing. Unsupervised DOP models assign all possible binary trees to a set of sentences ...
126
Voted
CVPR
2008
IEEE
16 years 5 months ago
2008
IEEE
We propose a novel algorithm for clustering data sampled from multiple submanifolds of a Riemannian manifold. First, we learn a representation of the data using generalizations of...
136
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KDD
2008
ACM
16 years 3 months ago
2008
ACM
Supervised classification methods have been shown to be very effective for a large number of applications. They require a training data set whose instances are labeled to indicate...
138
Voted
AIA
2007
15 years 5 months ago
2007
A fundamental assumption often made in supervised classification is that the problem is static, i.e. the description of the classes does not change with time. However many practi...
134
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NIPS
2008
15 years 5 months ago
2008
In solving complex visual learning tasks, adopting multiple descriptors to more precisely characterize the data has been a feasible way for improving performance. These representa...