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» Spatial Latent Dirichlet Allocation
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NIPS
2007
13 years 10 months ago
Supervised Topic Models
We introduce supervised latent Dirichlet allocation (sLDA), a statistical model of labelled documents. The model accommodates a variety of response types. We derive a maximum-like...
David M. Blei, Jon D. McAuliffe
IJCV
2008
139views more  IJCV 2008»
13 years 8 months ago
Multilevel Image Coding with Hyperfeatures
Histograms of local appearance descriptors are a popular representation for visual recognition. They are highly discriminant with good resistance to local occlusions and to geomet...
Ankur Agarwal, Bill Triggs
CVPR
2011
IEEE
13 years 6 months ago
Learning Better Image Representations Using 'Flobject Analysis'
Unsupervised learning can be used to extract image representations that are useful for various and diverse vision tasks. After noticing that most biological vision systems for int...
Inmar Givoni, Patrick Li, Brendan Frey
CVPR
2011
IEEE
13 years 4 months ago
Random Field Topic Model for Semantic Region Analysis in Crowded Scenes from Tracklets
In this paper, a Random Field Topic (RFT) model is proposed for semantic region analysis from motions of objects in crowded scenes. Different from existing approaches of learning ...
Bolei Zhou, Xiaogang Wang
CORR
2010
Springer
183views Education» more  CORR 2010»
13 years 7 months ago
Discovering shared and individual latent structure in multiple time series
This paper proposes a nonparametric Bayesian method for exploratory data analysis and feature construction in continuous time series. Our method focuses on understanding shared fe...
Suchi Saria, Daphne Koller, Anna Penn