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» Spatial Latent Dirichlet Allocation
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103
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NIPS
2007
15 years 2 months ago
Spatial Latent Dirichlet Allocation
In recent years, the language model Latent Dirichlet Allocation (LDA), which clusters co-occurring words into topics, has been widely applied in the computer vision field. Howeve...
Xiaogang Wang, Eric Grimson
94
Voted
ICPR
2010
IEEE
15 years 2 days ago
2LDA: Segmentation for Recognition
Abstract—Following the trend of “segmentation for recognition”, we present 2LDA, a novel generative model to automatically segment an image in 2 segments, background and fore...
Alessandro Perina, Marco Cristani, Vittorio Murino
112
Voted
ICASSP
2011
IEEE
14 years 4 months ago
Hierarchical Latent Dirichlet Allocation models for realistic action recognition
It has always been very difficult to recognize realistic actions from unconstrained videos because there are tremendous variations from camera motion, background clutter, object a...
Heping Li, Jie Liu, Shuwu Zhang
90
Voted
WSDM
2010
ACM
222views Data Mining» more  WSDM 2010»
15 years 10 months ago
fLDA: Matrix Factorization through Latent Dirichlet Allocation
Deepak Agarwal, Bee-Chung Chen
171
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KDD
2010
ACM
435views Data Mining» more  KDD 2010»
15 years 5 months ago
Topic models with power-law using Pitman-Yor process
One of the important approaches for Knowledge discovery and Data mining is to estimate unobserved variables because latent variables can indicate hidden and specific properties o...
Issei Sato, Hiroshi Nakagawa