123 search results - page 12 / 25 » Slow Feature Analysis: Unsupervised Learning of Invariances |
111
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TIP
2002
14 years 9 months ago
2002
An unsupervised classification algorithm is derived by modeling observed data as a mixture of several mutually exclusive classes that are each described by linear combinations of i...
371
Voted
Publication
State-of-the-art person re-identi cation methods seek robust person matching through combining various feature types. Often, these features are implicitly assigned with a single ve...
ICCV
2005
IEEE
15 years 11 months ago
2005
IEEE
We present a new approach to model visual scenes in image collections, based on local invariant features and probabilistic latent space models. Our formulation provides answers to...
MM
2005
ACM
15 years 3 months ago
2005
ACM
Latent Semantic Analysis (LSA) has shown encouraging performance for the problem of unsupervised image automatic annotation. LSA conducts annotation by keywords propagation on a l...
105
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EMNLP
2011
13 years 9 months ago
2011
In this paper, we consider the problem of unsupervised morphological analysis from a new angle. Past work has endeavored to design unsupervised learning methods which explicitly o...