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NAACL
2010
13 years 8 months ago
Painless Unsupervised Learning with Features
We show how features can easily be added to standard generative models for unsupervised learning, without requiring complex new training methods. In particular, each component mul...
Taylor Berg-Kirkpatrick, Alexandre Bouchard-C&ocir...
CORR
2004
Springer
128views Education» more  CORR 2004»
13 years 10 months ago
Unsupervised Topic Adaptation for Lecture Speech Retrieval
We are developing a cross-media information retrieval system, in which users can view specific segments of lecture videos by submitting text queries. To produce a text index, the ...
Atsushi Fujii, Katunobu Itou, Tomoyosi Akiba, Tets...
CVPR
2011
IEEE
13 years 6 months ago
Unsupervised Local Color Correction for Coarsely Registered Images
The current paper proposes a new parametric local color correction technique. Initially, several color transfer functions are computed from the output of the mean shift color se...
Miguel Oliveira, Angel D. Sappa, Vitor Santos
CVPR
2008
IEEE
15 years 3 days ago
Unsupervised discovery of visual object class hierarchies
Objects in the world can be arranged into a hierarchy based on their semantic meaning (e.g. organism ? animal ? feline ? cat). What about defining a hierarchy based on the visual ...
Josef Sivic, Bryan C. Russell, Andrew Zisserman, W...
CVIU
2006
162views more  CVIU 2006»
13 years 10 months ago
Unsupervised scene analysis: A hidden Markov model approach
This paper presents a new approach to scene analysis, which aims at extracting structured information from a video sequence using directly low-level data. The method models the se...
Manuele Bicego, Marco Cristani, Vittorio Murino