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ACL
2010
13 years 2 months ago
A Latent Dirichlet Allocation Method for Selectional Preferences
The computation of selectional preferences, the admissible argument values for a relation, is a well-known NLP task with broad applicability. We present LDA-SP, which utilizes Lin...
Alan Ritter, Mausam, Oren Etzioni
ACL
2010
13 years 2 months ago
Latent Variable Models of Selectional Preference
This paper describes the application of so-called topic models to selectional preference induction. Three models related to Latent Dirichlet Allocation, a proven method for modell...
Diarmuid Ó Séaghdha
ACCV
2009
Springer
13 years 11 months ago
Human Action Recognition Using HDP by Integrating Motion and Location Information
The method based on local features has an advantage that the important local motion feature is represented as bag-of-features, but lacks the location information. Additionally, in ...
Yasuo Ariki, Takuya Tonaru, Tetsuya Takiguchi
JMLR
2010
121views more  JMLR 2010»
12 years 11 months ago
Efficient Collapsed Gibbs Sampling for Latent Dirichlet Allocation
Collapsed Gibbs sampling is a frequently applied method to approximate intractable integrals in probabilistic generative models such as latent Dirichlet allocation. This sampling ...
Han Xiao, Thomas Stibor
HUMO
2007
Springer
13 years 10 months ago
Semi-Latent Dirichlet Allocation: A Hierarchical Model for Human Action Recognition
We propose a new method for human action recognition from video sequences using latent topic models. Video sequences are represented by a novel “bag-of-words” representation, w...
Yang Wang 0003, Payam Sabzmeydani, Greg Mori